CIS Introduces AI Security Guides Covering Models, Agents and MCP

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Summary

CIS and security partners introduced three companion guides extending the CIS Controls to AI systems, with the LLM guide addressing context integrity, sensitive data, deployment choices and model supply-chain security.

Key points

  • CIS, Astrix Security and Cequence Security developed three companion guides for AI LLMs, AI agents and the Model Context Protocol (MCP).
  • The LLM guide treats model inputs as untrusted and recommends sanitizing retrieved context, hardening system prompts and addressing indirect prompt injection.
  • It advises classifying model-related data and using retention, deletion, encryption and access controls to reduce leakage risks.
  • The guide distinguishes security obligations for endpoint-hosted, enterprise-hosted and SaaS-hosted models.
  • It recommends treating models as software artifacts through provenance tracking, version pinning, integrity checks and retirement policies.

Article Details

Event Type
Publication of three CIS Companion Guides for securing AI systems, including the AI Large Language Model (LLM) Companion Guide.
Impact
The guides extend the CIS Controls to AI environments and offer guidance on model-input integrity, sensitive-data handling, deployment differences, and model supply-chain provenance. The article describes them as helping organizations reduce AI-related security risks.

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