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AI Defense Matrix: an open framework for defending AI systems

The AI Defense Matrix is a structured framework for defending AI systems, aligned with NIST CSF 2.0. Created by Lenny Zeltser and Sounil Yu, it covers eight asset classes across devices, applications, networks, data, and users, providing AI-specific controls for each intersection with NIST functions. It helps practitioners perform gap analysis and vendors position their products.

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AI Defense Matrix: an open framework for defending AI systems
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • The AI Defense Matrix is a security framework for AI systems, aligned with NIST CSF 2.0.
  • Covers eight asset classes: AI-Workload Platforms, AI Orchestration Tools, AI-Generated Code, AI Gateways and Routers, AI Model, Training Data, Runtime AI Data, and AI Agent Identities.
  • Each cell defines a control category or tool; the matrix is downloadable as CSV/YAML/Markdown.
  • Includes primary and secondary design criteria to ensure distinct asset classes and consistent defender team alignment.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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