Policy types for @turbot/aws-sagemaker

AWS > SageMaker > API Enabled

Configure whether the AWS SageMaker API is enabled.

Note: Disabling the service disables the API for ALL users and roles, and Guardrails will have no access to the API.

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApiEnabled
Valid Value
[
"Enabled",
"Disabled",
"Enabled if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Enabled",
"Disabled",
"Enabled if AWS > SageMaker > Enabled"
],
"default": "Enabled"
}

AWS > SageMaker > Approved Regions [Default]

A list of AWS regions in which AWS SageMaker resources are approved for use.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

This policy is the default value for all AWS SageMaker resources' Approved > Regions policies.

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault
Default Template Input
"{\n regions: policyValue(uri:\"tmod:@turbot/aws#/policy/types/approvedRegionsDefault\") {\n value\n }\n}\n"
Default Template
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"

AWS > SageMaker > Code Repository > Active

Determine the action to take when an AWS SageMaker code repository, based on the AWS > SageMaker > Code Repository > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Code Repository > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Code Repository > Active > Age

The age after which the AWS SageMaker code repository
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Code Repository > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Code Repository > Active > Last Modified

The number of days since the AWS SageMaker code repository
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Code Repository > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Code Repository > Approved

Determine the action to take when an AWS SageMaker code repository is not approved based on AWS > SageMaker > Code Repository > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Code Repository > Approved > Custom

Determine whether the AWS SageMaker code repository is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker code repository is not approved, it will be subject to the action specified in the AWS > SageMaker > Code Repository > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Code Repository > Approved > Regions

A list of AWS regions in which AWS SageMaker code repositorys are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker code repository is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Code Repository > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Code Repository > Approved > Usage

Determine whether the AWS SageMaker code repository is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker code repository is not approved, it will be subject to the action specified in the AWS > SageMaker > Code Repository > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Code Repository > CMDB

Configure whether to record and synchronize details for the AWS SageMaker code repository into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Code Repository > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Code Repository > Regions

A list of AWS regions in which AWS SageMaker code repositorys are supported for use.

Any code repositorys in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/codeRepositoryRegions
Schema
{
"allOf": [
{
"$ref": "aws#/definitions/regionNameMatcherList"
},
{
"default": [
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-southeast-1",
"ap-southeast-2",
"ca-central-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-north-1",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-west-1",
"us-west-2"
]
}
]
}

AWS > SageMaker > Domain > Active

Determine the action to take when an AWS SageMaker domain, based on the AWS > SageMaker > Domain > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Domain > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Domain > Active > Age

The age after which the AWS SageMaker domain
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Domain > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Domain > Active > Last Modified

The number of days since the AWS SageMaker domain
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Domain > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Domain > Approved

Determine the action to take when an AWS SageMaker domain is not approved based on AWS > SageMaker > Domain > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Domain > Approved > Custom

Determine whether the AWS SageMaker domain is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker domain is not approved, it will be subject to the action specified in the AWS > SageMaker > Domain > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Domain > Approved > Encryption at Rest

Define the Encryption at Rest settings required for AWS > SageMaker > Domain.

Encryption at Rest refers specifically to the encryption of data when written
to an underlying storage system. This control determines whether the resource
is encrypted at rest, and sets encryption to your desired level.

The Encryption at Rest
control compares the encryption settings against the encryption policies for the resource
(AWS > SageMaker > Domain > Encryption at Rest > *),
raises an alarm, and takes the defined enforcement action

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainEncryptionAtRest
Valid Value
[
"None",
"None or higher",
"AWS managed key",
"AWS managed key or higher",
"Customer managed key",
"Encryption at Rest > Customer Managed Key"
]
Schema
{
"type": "string",
"enum": [
"None",
"None or higher",
"AWS managed key",
"AWS managed key or higher",
"Customer managed key",
"Encryption at Rest > Customer Managed Key"
],
"example": [
"None or higher"
],
"default": "None or higher"
}

AWS > SageMaker > Domain > Approved > Encryption at Rest > Customer Managed Key

Define the KMS key ID for encryption at rest.

Encryption at Rest refers specifically to the encryption of data when written
to an underlying storage system. This control determines whether the resource
is encrypted at rest, and sets encryption to your desired level.

The Encryption at Rest
control compares the encryption settings against the encryption policies for the resource
(AWS > SageMaker > Domain > Encryption at Rest > *),
raises an alarm, and takes the defined enforcement action

Please make sure the key defined in the template has required permissions.

<br />example:<br /> alias/aws/ebs<br /> ddc06e04-ce5f-4995-c758-c2b6c510e8fd<br /> arn:aws:kms:us-east-1:123456789012:key/ddc06e04-ce5f-4995-c758-c2b6c510e8fd<br /> arn:aws:kms:us-east-1:123456789012:alias/aws/ebs<br />

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainEncryptionAtRestCustomerManagedKey
Default Template Input
"{\n defaultKey: policy(uri: \"aws-kms#/policy/types/keyDefaultCustomerManagedKey\")\n}\n"
Default Template
"{{ $.defaultKey }}"
Schema
{
"anyOf": [
{
"type": "string",
"pattern": "^alias/[a-zA-Z0-9:/_-]{1,249}$"
},
{
"type": "string",
"pattern": "^[-a-z0-9-]{1,255}$"
},
{
"type": "string",
"pattern": "^arn:aws(-us-gov|-cn)?:kms:[a-z]{2}(-gov)?-[a-z]+-[0-9]:[0-9]{12}:key/[-a-z0-9-]{1,255}$"
},
{
"type": "string",
"pattern": "^arn:aws(-us-gov|-cn)?:kms:[a-z]{2}(-gov)?-[a-z]+-[0-9]:[0-9]{12}:alias/[a-zA-Z0-9:/_-]{1,249}$"
}
],
"tests": [
{
"description": "valid - if keyArn",
"input": "arn:aws:kms:us-east-1:039305405804:key/ddc06e04-ce5f-4995-b758-c2b6c510e8fd"
},
{
"description": "valid - if aliasName",
"input": "alias/aws/ebs"
},
{
"description": "valid - if keyId",
"input": "ddc06e04-ce5f-4995-b758-c2b6c510e8fd"
},
{
"description": "valid - if aliasArn",
"input": "arn:aws:kms:us-east-1:039305405804:alias/aws/ebs"
}
]
}

AWS > SageMaker > Domain > Approved > Regions

A list of AWS regions in which AWS SageMaker domains are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker domain is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Domain > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Domain > Approved > Usage

Determine whether the AWS SageMaker domain is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker domain is not approved, it will be subject to the action specified in the AWS > SageMaker > Domain > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Domain > CMDB

Configure whether to record and synchronize details for the AWS SageMaker domain into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Domain > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Domain > Regions

A list of AWS regions in which AWS SageMaker domains are supported for use.

Any domains in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainRegions
Schema
{
"allOf": [
{
"$ref": "aws#/definitions/regionNameMatcherList"
},
{
"default": [
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-southeast-1",
"ap-southeast-2",
"ca-central-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-north-1",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
]
}
]
}

AWS > SageMaker > Domain > Tags

Determine the action to take when an AWS SageMaker domain tags are not updated based on the AWS > SageMaker > Domain > Tags > * policies.

The control ensure AWS SageMaker domain tags include tags defined in AWS > SageMaker > Domain > Tags > Template.

Tags not defined in Domain Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainTags
Valid Value
[
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
],
"example": [
"Check: Tags are correct"
],
"default": "Skip"
}

AWS > SageMaker > Domain > Tags > Template

The template is used to generate the keys and values for AWS SageMaker domain.

Tags not defined in Domain Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/domainTagsTemplate
Default Template Input
[
"{\n account {\n turbot {\n id\n }\n }\n}\n",
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"
]
Default Template
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"

AWS > SageMaker > Enabled

Configure whether the AWS SageMaker service is enabled.
This will only affect Guardrails managed User Roles and will allow the Guardrails managed user to access AWS SageMaker service.
- Enabled policy allows Guardrails managed users to perform all the actions for the service
- Enabled: Metadata Only policy allows Guardrails managed users to perform only the metadata level actions for the service (like describe*, list*)

Note:
- Disabled policy disables the service but does NOT disable the API for Guardrails or SuperUsers
- All the resource data stored in the Guardrails CMDB is considered to be metadata
- For more information related to permissions and grant levels, please check the documentation

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerEnabled
Valid Value
[
"Enabled",
"Enabled: Metadata Only",
"Disabled"
]
Schema
{
"type": "string",
"enum": [
"Enabled",
"Enabled: Metadata Only",
"Disabled"
],
"example": [
"Enabled"
],
"default": "Disabled"
}

AWS > SageMaker > Endpoint > Active

Determine the action to take when an AWS SageMaker endpoint, based on the AWS > SageMaker > Endpoint > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint > Active > Age

The age after which the AWS SageMaker endpoint
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint > Active > Last Modified

The number of days since the AWS SageMaker endpoint
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint > Approved

Determine the action to take when an AWS SageMaker endpoint is not approved based on AWS > SageMaker > Endpoint > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint > Approved > Custom

Determine whether the AWS SageMaker endpoint is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint is not approved, it will be subject to the action specified in the AWS > SageMaker > Endpoint > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Endpoint > Approved > Regions

A list of AWS regions in which AWS SageMaker endpoints are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Endpoint > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Endpoint > Approved > Usage

Determine whether the AWS SageMaker endpoint is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint is not approved, it will be subject to the action specified in the AWS > SageMaker > Endpoint > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Endpoint > CMDB

Configure whether to record and synchronize details for the AWS SageMaker endpoint into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Endpoint > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Endpoint > Regions

A list of AWS regions in which AWS SageMaker endpoints are supported for use.

Any endpoints in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointRegions
Default Template Input
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
Default Template
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Endpoint > Tags

Determine the action to take when an AWS SageMaker endpoint tags are not updated based on the AWS > SageMaker > Endpoint > Tags > * policies.

The control ensure AWS SageMaker endpoint tags include tags defined in AWS > SageMaker > Endpoint > Tags > Template.

Tags not defined in Endpoint Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointTags
Valid Value
[
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
],
"example": [
"Check: Tags are correct"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint > Tags > Template

The template is used to generate the keys and values for AWS SageMaker endpoint.

Tags not defined in Endpoint Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointTagsTemplate
Default Template Input
[
"{\n account {\n turbot {\n id\n }\n }\n}\n",
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"
]
Default Template
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"

AWS > SageMaker > Endpoint Configuration > Active

Determine the action to take when an AWS SageMaker endpoint configuration, based on the AWS > SageMaker > Endpoint Configuration > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint Configuration > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint Configuration > Active > Age

The age after which the AWS SageMaker endpoint configuration
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint Configuration > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint Configuration > Active > Last Modified

The number of days since the AWS SageMaker endpoint configuration
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint Configuration > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint Configuration > Approved

Determine the action to take when an AWS SageMaker endpoint configuration is not approved based on AWS > SageMaker > Endpoint Configuration > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint Configuration > Approved > Custom

Determine whether the AWS SageMaker endpoint configuration is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint configuration is not approved, it will be subject to the action specified in the AWS > SageMaker > Endpoint Configuration > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Endpoint Configuration > Approved > Regions

A list of AWS regions in which AWS SageMaker endpoint configurations are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint configuration is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Endpoint Configuration > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Endpoint Configuration > Approved > Usage

Determine whether the AWS SageMaker endpoint configuration is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint configuration is not approved, it will be subject to the action specified in the AWS > SageMaker > Endpoint Configuration > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Endpoint Configuration > CMDB

Configure whether to record and synchronize details for the AWS SageMaker endpoint configuration into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Endpoint Configuration > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Endpoint Configuration > Regions

A list of AWS regions in which AWS SageMaker endpoint configurations are supported for use.

Any endpoint configurations in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigRegions
Default Template Input
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
Default Template
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Endpoint Configuration > Tags

Determine the action to take when an AWS SageMaker endpoint configuration tags are not updated based on the AWS > SageMaker > Endpoint Configuration > Tags > * policies.

The control ensure AWS SageMaker endpoint configuration tags include tags defined in AWS > SageMaker > Endpoint Configuration > Tags > Template.

Tags not defined in Endpoint Configuration Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigTags
Valid Value
[
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
],
"example": [
"Check: Tags are correct"
],
"default": "Skip"
}

AWS > SageMaker > Endpoint Configuration > Tags > Template

The template is used to generate the keys and values for AWS SageMaker endpoint configuration.

Tags not defined in Endpoint Configuration Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/endpointConfigTagsTemplate
Default Template Input
[
"{\n account {\n turbot {\n id\n }\n }\n}\n",
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"
]
Default Template
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"

AWS > SageMaker > Lifecycle Configuration > Active

Determine the action to take when an AWS SageMaker lifecycle configuration, based on the AWS > SageMaker > Lifecycle Configuration > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Lifecycle Configuration > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Lifecycle Configuration > Active > Age

The age after which the AWS SageMaker lifecycle configuration
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Lifecycle Configuration > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Lifecycle Configuration > Active > Last Modified

The number of days since the AWS SageMaker lifecycle configuration
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Lifecycle Configuration > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Lifecycle Configuration > Approved

Determine the action to take when an AWS SageMaker lifecycle configuration is not approved based on AWS > SageMaker > Lifecycle Configuration > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Lifecycle Configuration > Approved > Custom

Determine whether the AWS SageMaker lifecycle configuration is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker lifecycle configuration is not approved, it will be subject to the action specified in the AWS > SageMaker > Lifecycle Configuration > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Lifecycle Configuration > Approved > Regions

A list of AWS regions in which AWS SageMaker lifecycle configurations are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker lifecycle configuration is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Lifecycle Configuration > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Lifecycle Configuration > Approved > Usage

Determine whether the AWS SageMaker lifecycle configuration is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker lifecycle configuration is not approved, it will be subject to the action specified in the AWS > SageMaker > Lifecycle Configuration > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Lifecycle Configuration > CMDB

Configure whether to record and synchronize details for the AWS SageMaker lifecycle configuration into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Lifecycle Configuration > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Lifecycle Configuration > Regions

A list of AWS regions in which AWS SageMaker lifecycle configurations are supported for use.

Any lifecycle configurations in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/lifecycleConfigurationRegions
Default Template Input
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
Default Template
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Model > Active

Determine the action to take when an AWS SageMaker model, based on the AWS > SageMaker > Model > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Model > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Delete inactive with 1 day warning",
"Enforce: Delete inactive with 3 days warning",
"Enforce: Delete inactive with 7 days warning",
"Enforce: Delete inactive with 14 days warning",
"Enforce: Delete inactive with 30 days warning",
"Enforce: Delete inactive with 60 days warning",
"Enforce: Delete inactive with 90 days warning",
"Enforce: Delete inactive with 180 days warning",
"Enforce: Delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Model > Active > Age

The age after which the AWS SageMaker model
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Model > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Model > Active > Last Modified

The number of days since the AWS SageMaker model
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Model > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Model > Approved

Determine the action to take when an AWS SageMaker model is not approved based on AWS > SageMaker > Model > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Model > Approved > Custom

Determine whether the AWS SageMaker model is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker model is not approved, it will be subject to the action specified in the AWS > SageMaker > Model > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Model > Approved > Regions

A list of AWS regions in which AWS SageMaker models are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker model is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Model > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Model > Approved > Usage

Determine whether the AWS SageMaker model is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker model is not approved, it will be subject to the action specified in the AWS > SageMaker > Model > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Model > CMDB

Configure whether to record and synchronize details for the AWS SageMaker model into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Model > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Model > Regions

A list of AWS regions in which AWS SageMaker models are supported for use.

Any models in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelRegions
Default Template Input
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
Default Template
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Model > Tags

Determine the action to take when an AWS SageMaker model tags are not updated based on the AWS > SageMaker > Model > Tags > * policies.

The control ensure AWS SageMaker model tags include tags defined in AWS > SageMaker > Model > Tags > Template.

Tags not defined in Model Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelTags
Valid Value
[
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
],
"example": [
"Check: Tags are correct"
],
"default": "Skip"
}

AWS > SageMaker > Model > Tags > Template

The template is used to generate the keys and values for AWS SageMaker model.

Tags not defined in Model Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/modelTagsTemplate
Default Template Input
[
"{\n account {\n turbot {\n id\n }\n }\n}\n",
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"
]
Default Template
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"

AWS > SageMaker > Notebook Instance > Active

Determine the action to take when an AWS SageMaker notebook instance, based on the AWS > SageMaker > Notebook Instance > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceActive
Valid Value
[
"Skip",
"Check: Active",
"Enforce: Stop and delete inactive with 1 day warning",
"Enforce: Stop and delete inactive with 3 days warning",
"Enforce: Stop and delete inactive with 7 days warning",
"Enforce: Stop and delete inactive with 14 days warning",
"Enforce: Stop and delete inactive with 30 days warning",
"Enforce: Stop and delete inactive with 60 days warning",
"Enforce: Stop and delete inactive with 90 days warning",
"Enforce: Stop and delete inactive with 180 days warning",
"Enforce: Stop and delete inactive with 365 days warning"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active",
"Enforce: Stop and delete inactive with 1 day warning",
"Enforce: Stop and delete inactive with 3 days warning",
"Enforce: Stop and delete inactive with 7 days warning",
"Enforce: Stop and delete inactive with 14 days warning",
"Enforce: Stop and delete inactive with 30 days warning",
"Enforce: Stop and delete inactive with 60 days warning",
"Enforce: Stop and delete inactive with 90 days warning",
"Enforce: Stop and delete inactive with 180 days warning",
"Enforce: Stop and delete inactive with 365 days warning"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Active > Age

The age after which the AWS SageMaker notebook instance
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Active > Budget

The impact of the budget state on the active control. This policy allows you to force
notebookInstances to inactive based on the current budget state, as reflected in
AWS > Account > Budget > State

The Active control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated compliance
environment, it's common to end up with a wide range of alarms that are difficult
and time consuming to clear. The Active control brings automated, well-defined
control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceActiveBudget
Valid Value
[
"Skip",
"Force inactive if Budget > State is Over or higher",
"Force inactive if Budget > State is Critical or higher",
"Force inactive if Budget > State is Shutdown"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if Budget > State is Over or higher",
"Force inactive if Budget > State is Critical or higher",
"Force inactive if Budget > State is Shutdown"
],
"example": [
"Skip"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Active > Last Modified

The number of days since the AWS SageMaker notebook instance
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
],
"example": [
"Active if last modified <= 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Approved

Determine the action to take when an AWS SageMaker notebook instance is not approved based on AWS > SageMaker > Notebook Instance > Approved > * policies.

The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.

For any enforcement actions that specify if new, e.g., Enforce: Delete unapproved if new, this control will only take the enforcement actions for resources created within the last 60 minutes.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceApproved
Valid Value
[
"Skip",
"Check: Approved",
"Enforce: Stop unapproved",
"Enforce: Stop unapproved if new",
"Enforce: Stop and delete unapproved if new"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Approved",
"Enforce: Stop unapproved",
"Enforce: Stop unapproved if new",
"Enforce: Stop and delete unapproved if new"
],
"example": [
"Check: Approved"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Approved > Budget

The policy allows you to set notebook instances to unapproved based on the current budget state, as reflected in AWS > Account > Budget > State

This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is not matched by the approved list, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceApprovedBudget
Valid Value
[
"Skip",
"Unapproved if Budget > State is Over or higher",
"Unapproved if Budget > State is Critical or higher",
"Unapproved if Budget > State is Shutdown"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Unapproved if Budget > State is Over or higher",
"Unapproved if Budget > State is Critical or higher",
"Unapproved if Budget > State is Shutdown"
],
"example": [
"Unapproved if Budget > State is Shutdown"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Approved > Custom

Determine whether the AWS SageMaker notebook instance is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is not approved, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved policy.
See Approved for more information.

Note: The policy value must be a string with a value of Approved, Not approved or Skip, or in the form of YAML objects. The object(s) must contain the key result with its value as Approved or Not approved. A custom title and message can also be added using the keys title and message respectively.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceApprovedCustom
Schema
{
"example": [
"Approved",
"Not approved",
"Skip",
{
"result": "Approved"
},
{
"title": "string",
"result": "Not approved"
},
{
"title": "string",
"result": "Approved",
"message": "string"
},
[
{
"title": "string",
"result": "Approved",
"message": "string"
},
{
"title": "string",
"result": "Not approved",
"message": "string"
}
]
],
"anyOf": [
{
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string",
"pattern": "^[\\W\\w]{1,32}$"
},
"message": {
"type": "string",
"pattern": "^[\\W\\w]{1,128}$"
},
"result": {
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
},
"required": [
"result"
],
"additionalProperties": false
},
{
"type": "string",
"pattern": "^(Approved|Not approved|Skip)$"
}
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Approved > Regions

A list of AWS regions in which AWS SageMaker notebook instances are approved for use.

The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.

This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceApprovedRegions
Default Template Input
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
Default Template
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Notebook Instance > Approved > Usage

Determine whether the AWS SageMaker notebook instance is allowed to exist.

This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is not approved, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved policy.

See Approved for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceApprovedUsage
Valid Value
[
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
]
Schema
{
"type": "string",
"enum": [
"Not approved",
"Approved",
"Approved if AWS > SageMaker > Enabled"
],
"example": [
"Not approved"
],
"default": "Approved if AWS > SageMaker > Enabled"
}

AWS > SageMaker > Notebook Instance > CMDB

Configure whether to record and synchronize details for the AWS SageMaker notebook instance into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".

If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.

To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".

CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Notebook Instance > Regions policy, the CMDB control will delete the resource from the CMDB.

(Note: Setting CMDB to "Skip" will also pause these changes.)

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceCmdb
Category
Valid Value
[
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Enforce: Enabled",
"Enforce: Disabled"
],
"example": [
"Skip"
],
"default": "Enforce: Enabled"
}

AWS > SageMaker > Notebook Instance > Regions

A list of AWS regions in which AWS SageMaker notebook instances are supported for use.

Any notebook instances in a region not listed here will not be recorded in CMDB.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceRegions
Default Template Input
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
Default Template
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- &#39;{{ item }}&#39;&#92;n{% endfor %}"

AWS > SageMaker > Notebook Instance > Tags

Determine the action to take when an AWS SageMaker notebook instance tags are not updated based on the AWS > SageMaker > Notebook Instance > Tags > * policies.

The control ensure AWS SageMaker notebook instance tags include tags defined in AWS > SageMaker > Notebook Instance > Tags > Template.

Tags not defined in Notebook Instance Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceTags
Valid Value
[
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Tags are correct",
"Enforce: Set tags"
],
"example": [
"Check: Tags are correct"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Tags > Template

The template is used to generate the keys and values for AWS SageMaker notebook instance.

Tags not defined in Notebook Instance Tags Template will not be modified or deleted. Setting a tag value to undefined will result in the tag being deleted.

See Tags for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceTagsTemplate
Default Template Input
[
"{\n account {\n turbot {\n id\n }\n }\n}\n",
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"
]
Default Template
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"

AWS > SageMaker > Notebook Instance > Usage

Configure the number of AWS SageMaker notebook instances that can be used for this account and the current consumption against the limit.

You can configure the behavior of the control with this AWS > SageMaker > Notebook Instance > Usage policy.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceUsage
Valid Value
[
"Skip",
"Check: Usage <= 85% of Limit",
"Check: Usage <= 100% of Limit"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Usage <= 85% of Limit",
"Check: Usage <= 100% of Limit"
],
"example": [
"Check: Usage <= 85% of Limit"
],
"default": "Skip"
}

AWS > SageMaker > Notebook Instance > Usage > Limit

Maximum number of items that can be created for this account.

URI
tmod:@turbot/aws-sagemaker#/policy/types/notebookInstanceUsageLimit
Schema
{
"type": "integer",
"minimum": 0,
"default": 20
}

AWS > SageMaker > Permissions

Configure whether permissions policies are in effect for AWS SageMaker.

This setting does not affect account level permissions (AWS/Admin, AWS/Owner, etc)

Note: The behavior of this policy depends on the value of AWS > Permissions.

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerPermissions
Valid Value
[
"Enabled",
"Disabled",
"Enabled if AWS > SageMaker > Enabled & AWS > SageMaker > API Enabled"
]
Schema
{
"type": "string",
"enum": [
"Enabled",
"Disabled",
"Enabled if AWS > SageMaker > Enabled & AWS > SageMaker > API Enabled"
],
"example": [
"Enabled"
],
"default": "Enabled if AWS > SageMaker > Enabled & AWS > SageMaker > API Enabled"
}

AWS > SageMaker > Permissions > Levels

Define the permissions levels that can be used to grant access to an AWS account.
Permissions levels defined will appear in the UI to assign access to Guardrails users.
This policy provides a default for Permissions > Levels in each service,
however you can explicitly override the setting for each service if desired

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerPermissionsLevels
Default Template Input
[
"{\n item: account {\n turbot{\n id\n }\n }\n}\n",
"{\n availableLevels: policyValues(filter:\"policyTypeLevel:self resourceId:{{ $.item.turbot.id }} policyTypeId:'tmod:@turbot/aws-iam#/policy/types/permissionsLevelsDefault'\") {\n items {\n value\n }\n }\n}\n"
]
Default Template
"{% if $.availableLevels.items[0].value | length == 0 %} [] {% endif %}{% for item in $.availableLevels.items[0].value %}- {{ item }}&#92;n{% endfor %}"
Schema
{
"type": "array",
"items": {
"type": "string",
"enum": [
"Metadata",
"ReadOnly",
"Operator",
"Admin",
"Owner"
]
}
}

AWS > SageMaker > Permissions > Levels > Modifiers

A map of AWS API to Guardrails Permission Level used to customize Guardrails' standard permissions.
You can add, remove or redefine the mapping of AWS API operations to Guardrails permissions levels here.

Note: Modifiers are cumulative - if you add a permission to the Metadata level, it is also added to ReadOnly, Operator and Admin.
Modifier policies set here apply ONLY to the AWS level

<br />example:<br /> - &quot;glacier:createvault&quot;: admin<br /> - &quot;glacier:ListVaults&quot;: metadata<br /> - &quot;s3:DeleteBucket&quot;: none<br />

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerPermissionsLevelsModifiers

AWS > SageMaker > Permissions > Lockdown

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerPermissionsLockdown
Targets

AWS > SageMaker > Permissions > Lockdown > API Boundary

Configure whether the AWS sageMaker API is enabled for all users and roles in turbot-managed boundary policies.

Note: Disabling the service disables the API for ALL users and roles, and Guardrails will have no access to the API.

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerPermissionsLockdownApiBoundary
Valid Value
[
"Enabled if AWS > SageMaker > API Enabled"
]
Schema
{
"type": "string",
"enum": [
"Enabled if AWS > SageMaker > API Enabled"
],
"example": [
"Enabled if AWS > SageMaker > API Enabled"
],
"default": "Enabled if AWS > SageMaker > API Enabled"
}

AWS > SageMaker > Regions

A list of AWS regions in which AWS SageMaker resources are supported for use.

The expected format is an array of regions names. You may use the '*' and
'?' wildcard characters.

This policy is the default value for all AWS SageMaker resources' Regions policies.

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault
Schema
{
"allOf": [
{
"$ref": "aws#/definitions/regionNameMatcherList"
},
{
"default": [
"ap-east-1",
"ap-northeast-1",
"ap-northeast-2",
"ap-northeast-3",
"ap-south-1",
"ap-southeast-1",
"ap-southeast-2",
"ca-central-1",
"cn-north-1",
"cn-northwest-1",
"eu-central-1",
"eu-north-1",
"eu-west-1",
"eu-west-2",
"eu-west-3",
"me-south-1",
"sa-east-1",
"us-east-1",
"us-east-2",
"us-gov-east-1",
"us-gov-west-1",
"us-west-1",
"us-west-2"
]
}
]
}

AWS > SageMaker > Tags Template [Default]

A template used to generate the keys and values for AWS SageMaker resources.

By default, all SageMaker resource Tags > Template policies will use this value.

URI
tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate
Default Template Input
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws#/policy/types/defaultTagsTemplate\") {\n value\n }\n}\n"
Default Template
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"

AWS > SageMaker > Training Job > Active

Determine the action to take when an AWS SageMaker training job, based on the AWS > SageMaker > Training Job > Active > * policies.

The control determines whether the resource is in active use, and if not,
has the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Training Job > Active > *), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/trainingJobActive
Valid Value
[
"Skip",
"Check: Active"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Check: Active"
],
"example": [
"Check: Active"
],
"default": "Skip"
}

AWS > SageMaker > Training Job > Active > Age

The age after which the AWS SageMaker training job
is no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Training Job > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/trainingJobActiveAge
Valid Value
[
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Force inactive if age > 1 day",
"Force inactive if age > 3 days",
"Force inactive if age > 7 days",
"Force inactive if age > 14 days",
"Force inactive if age > 30 days",
"Force inactive if age > 60 days",
"Force inactive if age > 90 days",
"Force inactive if age > 180 days",
"Force inactive if age > 365 days"
],
"example": [
"Force inactive if age > 90 days"
],
"default": "Skip"
}

AWS > SageMaker > Training Job > Active > Last Modified

The number of days since the AWS SageMaker training job
was last modified before it is considered inactive.

The Active
control determines whether the resource is in active use, and if not, has
the ability to delete / cleanup the resource. When running an automated
compliance environment, it's common to end up with a wide range of alarms
that are difficult and time consuming to clear. The Active control brings
automated, well-defined control to this process.

The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Training Job > Active > *),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.

See Active for more information.

URI
tmod:@turbot/aws-sagemaker#/policy/types/trainingJobActiveLastModified
Valid Value
[
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",
"Force active if last modified <= 14 days",
"Force active if last modified <= 30 days",
"Force active if last modified <= 60 days",
"Force active if last modified <= 90 days",
"Force active if last modified <= 180 days",
"Force active if last modified <= 365 days"
]
Schema
{
"type": "string",
"enum": [
"Skip",
"Active if last modified <= 1 day",
"Active if last modified <= 3 days",
"Active if last modified <= 7 days",
"Active if last modified <= 14 days",
"Active if last modified <= 30 days",
"Active if last modified <= 60 days",
"Active if last modified <= 90 days",
"Active if last modified <= 180 days",
"Active if last modified <= 365 days",
"Force active if last modified <= 1 day",
"Force active if last modified <= 3 days",
"Force active if last modified <= 7 days",