metodologia-aws-architecture-audit

To audit your AWS GenAI architecture, you assess configurations against the GenAI Lens across six pillars, checking least-privilege IAM, VPC endpoints, and encryption to produce a security posture report. You can select express, standard, or deep audit modes based on the required depth.

A GenAI Lens assessment evaluates AWS AI architectures across six pillars: GENOPS, GENSEC, GENREL, GENPERF, GENCOST, and GENSUS. It identifies and quantifies gaps in security, reliability, cost, and governance to ensure production readiness for AI workloads.

Yes, you can audit SageMaker and Bedrock configurations for IAM and encryption gaps. The audit evaluates service-by-service configurations against least-privilege IAM, VPC endpoints, and encryption checks to identify security posture issues.

You generate a remediation roadmap for AWS AI security findings by running an audit against the GenAI Lens. The audit produces a prioritized remediation roadmap and governance guidance based on identified configuration and security gaps.

Yes, the AWS GenAI audit supports OpenSearch and related services. It applies configuration and security posture auditing across Bedrock, SageMaker, OpenSearch, and related services to identify gaps against the GenAI Lens pillars.

The best way to check production readiness for AWS GenAI architectures is to perform a deep audit mode assessment against the GenAI Lens. This identifies and quantifies gaps across security, reliability, cost, and governance to validate readiness.