CIS Releases Security Guides for LLMs, AI Agents and MCP

· Original article ↗

Summary

CIS, Astrix Security, and Cequence Security developed three Companion Guides that apply CIS Controls to securing LLMs, AI agents, and Model Context Protocol environments.

Key points

  • The guides address three AI security layers: models and LLMs, autonomous agents, and the MCP protocol for connecting AI systems with tools and data.
  • They extend existing CIS Controls and Safeguards for AI environments rather than introducing a separate framework.
  • Guidance covers sanitizing inputs, protecting context and memory, constraining agent reasoning, authorizing tool requests, logging actions, and reviewing or minimizing outputs.
  • The article identifies risks including sensitive-data leakage, unauthorized agent actions, persistent confidential data in memory, poisoned RAG pipelines, and unsafe MCP server capabilities.
  • Astrix contributed expertise in agent, MCP, and non-human identity security; Cequence contributed enterprise application and API security expertise.

Article Details

Event Type
Publication of three CIS Companion Guides extending the CIS Controls to AI large language models, AI agents, and the Model Context Protocol (MCP).
Impact
The guides provide enterprises with layered cybersecurity guidance for AI systems, addressing model and data exposure, agent autonomy and tool use, identity and authorization, MCP access to tools and data, and auditing. The article describes security risks that AI deployments can introduce but does not report a specific incident or confirmed impact.

Vendors

Products

Industries

Related Articles