Intelligent Summaries: Easy to understand cloud governance posture

Policy Packs in Guardrails often contain multiple related policies with calculated logic that work together to achieve specific governance objectives. Understanding what each policy pack accomplishes requires manually reviewing individual policy settings, calculated policy templates, and conditional logic to determine their combined purpose and impact.

Turbot Guardrails now introduces Intelligent Summaries that leverage AI to automatically generate clear, concise summaries of policy pack purposes and objectives. This provides instant understanding of governance posture across AWS, Azure, GCP, Kubernetes, GitHub, and ServiceNow without manually reviewing individual policy configurations.

Bring Your Own AI

This new feature is powered by AI with the benefit of using your own AI access keys and models from OpenAI and Anthropic. By using your own AI credentials, you maintain complete control over your data and AI processing while leveraging your existing AI provider relationships and pricing agreements. This approach ensures your governance data never leaves your control and allows you to use the most advanced models available through your preferred AI provider.

Guardrails provides default system prompts and temperature controls that have been tested and optimized, which you can extend or customize as needed. To integrate your preferred AI service with Guardrails, follow our AI Configuration guide.

Getting Started with Intelligent Summaries

When viewing a policy pack, Intelligent Summaries analyzes the collection of policies and generates comprehensive Policy Pack Summaries that expand on both the provided description and policy settings to explain not just what policies are included, but how they work together.

This particular policy pack combines multiple tagging policies with complex calculated logic. Intelligent Summaries automatically generates a comprehensive summary that appears directly in the policy pack interface, analyzing each calculated policy tagging template and interpreting the overall policy posture:

"The policy pack automatically applies required tags based on templates defined for each resource type. It will standardize tag keys to lowercase format, remove improperly formatted tags, and ensure specific tag values are set according to predefined mappings. The policies are set to "Enforce: Set tags" mode, which means they will actively modify resources to apply the correct tags. Existing tags not defined in the templates will be preserved, but any tags with values set to undefined will be deleted."

This insight saves time reviewing the conditional logic in calculated policies, giving users faster understanding of the policy pack's governance approach and expected behavior.

Understand Your Governance Posture with Intelligent Summaries

Intelligent Summaries transform how you interact with policy pack collections by providing instant, AI-generated summaries that explain governance objectives and implementation details. This automated context generation helps teams understand their governance posture more effectively while reducing the time spent analyzing policy configurations manually.

Get started with a 14-day free trial of Intelligent Summaries today.