securing-aws-lambda-execution-roles

You can audit Lambda execution roles by analyzing attached IAM policies for wildcard actions and over-privilege, then use Access Analyzer findings and CloudTrail usage data to identify unnecessary permissions across your serverless environments.

Generating least-privilege IAM policies for Lambda involves analyzing CloudTrail API usage history and Access Analyzer outputs to produce scoped policies that replace wildcard actions with specific resource-level permissions.

Applying permission boundaries to Lambda roles involves setting IAM guardrails that cap maximum permissions, while trust policy safeguards ensure only Lambda services can assume the role, validated through Access Analyzer and SCPs.

Lambda execution roles accumulate over-privileged permissions when wildcard actions are added during development and never scoped back, increasing the risk of credential leakage and unauthorized AWS API access.

Yes, Access Analyzer validates generated scoped IAM policies by reviewing them against your account's resource topology, confirming that least-privilege configurations and permission boundaries reduce security risk before deployment.

Yes, you need the boto3 Python library to interact with AWS APIs, enabling automated analysis of IAM policies, CloudTrail logs, and Access Analyzer findings to generate and deploy scoped least-privilege policies.