Policy Packs

guardrails-samples

Ensure proper resource management, cost tracking, and compliance with organizational policies by enabling the identification and classification of Lambda functions based on their purpose, environment, and other relevant criteria.

Enforce AWS Lambda Functions Use Approved Tags

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aws_lambda_function_approved

Determine the action to take when an AWS Lambda function is not approved based on `AWS &gt; Lambda &gt; Function &gt; Approved &gt; *` policies.&#92;n&#92;nThe 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.&#92;n&#92;nFor 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.&#92;n&#92;nSee [Approved](https://turbot.com/v5/docs/concepts/guardrails/approved) for more information.&#92;n

functionApproved

AWS > Lambda > Function > Approved

aws_lambda_function_approved_custom

Determine whether the AWS Lambda function is allowed to exist.&#92;nThis policy will be evaluated by the Approved control. If an AWS Lambda function is not approved, it will be subject to the action specified in the `AWS &gt; Lambda &gt; Function &gt; Approved` policy.&#92;nSee [Approved](https://turbot.com/v5/docs/concepts/guardrails/approved) for more information.&#92;n&#92;n**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.&#92;n

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