metodologia-aws-architecture-audit

Audit AWS AI architectures against the GenAI Lens across six pillars.

Updated Mar 31, 2026

Search Tags:#architecture #security #aws #audit #reliability #cost #genai

Ready to run

npx skills add https://github.com/JaviMontano/metodologia-propuesta-agent-public --skill metodologia-aws-architecture-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: metodologia-aws-architecture-audit
Source: https://github.com/JaviMontano/metodologia-propuesta-agent-public/tree/main/.claude/skills/cloud/aws-architecture-audit
Command: npx skills add https://github.com/JaviMontano/metodologia-propuesta-agent-public --skill metodologia-aws-architecture-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Audits AWS AI architectures against the GenAI Lens, identifying gaps in security, reliability, cost, and governance to ensure production readiness.

Core Features & Use Cases

GenAI Lens assessment across six pillars (GENOPS, GENSEC, GENREL, GENPERF, GENCOST, GENSUS) with automated checks.
AWS service configuration and security posture auditing for Bedrock, SageMaker, OpenSearch, and related services.
Remediation roadmap and governance guidance based on findings for prioritized improvements.

Quick Start

Provide AWS account access and run the audit to generate a full GenAI-focused AWS architecture assessment.

Frequently Asked Questions about metodologia-aws-architecture-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit my AWS AI architecture for GenAI workloads?▼

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.

What is a GenAI Lens assessment for AWS services?▼

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.

Can I audit SageMaker and Bedrock configurations for IAM and encryption gaps?▼

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.

How do I generate a remediation roadmap for AWS AI security findings?▼

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.

Does the AWS GenAI audit support OpenSearch and related services?▼

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.

What is the best way to check production readiness for AWS GenAI architectures?▼

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.