{"id":77948,"date":"2026-04-23T11:48:56","date_gmt":"2026-04-23T08:48:56","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/ai-security-companion-guides-cis-astrix-cequence\/"},"modified":"2026-04-23T11:48:58","modified_gmt":"2026-04-23T08:48:58","slug":"ai-security-companion-guides-cis-astrix-cequence","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/ai-security-companion-guides-cis-astrix-cequence\/","title":{"rendered":"CIS, Astrix, and Cequence Release AI Security Companion Guides"},"content":{"rendered":"

The Center for Internet Security, Inc. (CIS), Astrix Security, and Cequence Security released three new AI security companion guides<\/a> on April 22, 2026, designed to help enterprises secure rapidly evolving artificial intelligence environments. Co-authored by experts across all three organizations, the guides extend the CIS Critical Security Controls into AI systems where large language models, autonomous agents, and Model Context Protocol integrations introduce new risks.<\/p>

Each guide focuses on a distinct layer of the artificial intelligence<\/a> ecosystem. The AI LLM Companion Guide provides guidance for securing large language models, including risks related to prompts, context handling, and exposure of sensitive information. The AI Agent Companion Guide outlines controls for managing autonomous and semi-autonomous agents, focusing on safe tool execution, governed autonomy, and appropriate access to enterprise systems. The MCP Companion Guide details protections for Model Context Protocol environments, emphasizing secure tool access, management of Non-Human Identities, and auditable interactions across the protocol layer.<\/p>

As artificial intelligence becomes deeply embedded in production workflows, security teams face risks that traditional controls were never built to address. These include data leakage, unbounded agent autonomy, credential misuse, and unsafe or inappropriate execution of tools. The new guides offer practical, prioritized guidance that reflects how AI is actually deployed in modern enterprises.<\/p>

“These guides reflect a shared effort to bring clarity to an area where organizations are seeking direction. By combining our collective expertise, we translated the CIS Controls into concrete steps that help teams secure AI systems across the model, agent, and protocol layers.”<\/p>Curtis Dukes, Executive Vice President and General Manager of Security Best Practices at CIS<\/cite><\/blockquote>

How the Guides Support Organizations<\/h2>

The three guides give security and IT teams a unified way to apply the CIS Controls to AI systems that behave and evolve differently from traditional software. By extending the Controls into environments powered by large language models, autonomous agents, and MCP-based integrations, the guidance helps organizations understand where risks emerge and how to address them with guidance that reflects real-world deployment patterns.<\/p>