Comprehensive AI/ML Security Maturity Framework
As AI adoption accelerates across organizations, traditional security approaches are falling short. I've developed and open-sourced a comprehensive AI/ML Security Maturity Model that bridges this gap.
🎯 What is this framework? A complete assessment and implementation roadmap covering 11 specialized AI security domains across 5 maturity levels - from reactive controls to governed automation. It's aligned with industry standards including NIST AI RMF, Google SAIF, OWASP LLM Top 10, and MITRE ATLAS.
🔍 The 11 Critical Domains Include:
✅ AI Governance, Risk & Compliance
✅ Secure AI Development & MLSecOps
✅ AI Data Security & Privacy (with PETs)
✅ AI Infrastructure & Accelerator Security
✅ LLM/RAG Application Security
✅ AI Model Security & Integrity
✅ AI Monitoring & Threat Detection
✅ AI Incident Response & Recovery
✅ Red Teaming & Evaluation
✅ Human-in-the-Loop Security
✅ AI Safety & Content Risk Management
💡 Why This Matters:
🛠️ What You Get:
📊 Interactive Assessment Tool - Evaluate your current maturity across all domains
📋 Detailed Implementation Roadmap - Phase-by-phase guidance from foundation to optimization
📚 Comprehensive Documentation - 60+ assessment questions, implementation checklists, and security glossary
🔧 Practical Tools - Ready-to-use templates for model cards, DPIAs, and incident response playbooks
🌟 Perfect for organizations that:
🔗 Access the Resources:
This is completely free and open source - built for the community to advance AI security practices across the industry. Whether you're just starting your AI security journey or looking to optimize existing practices, this framework provides the structured approach you need.
#AI #Cybersecurity #AISecurity #MLSecOps #ArtificialIntelligence #InfoSec #MaturityModel #LLMSecurity #DataPrivacy