From Prompts to Protocols: The Security Blueprint for Enterprise AI

Artificial intelligence (AI) is reshaping the enterprise, and security teams are being asked to keep pace with models, agents, and tool‑integrated workflows that evolve faster than traditional controls can respond. As organizations adopt AI across critical systems, the need for clear, actionable, and standards-aligned guidance has never been greater. 

"From Prompts to Protocols: The Security Blueprint for Enterprise AI" introduces a practical, evaluable framework for securing AI systems across the full stack. Developed by the Center for Internet Security® (CIS®) in partnership with Astrix Security and Cequence Security, this guidance extends CIS Critical Security Controls® (CIS Controls®) v8.1 into three focused companion guides covering Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP). Together, they give enterprises a structured way to understand, assess, and secure AI as it becomes embedded in everyday operations.

• How to secure each layer of the AI stack, including model behavior, agent reasoning and autonomy, and the protocol boundaries where tools, resources, and prompts are exposed
• How to apply least privilege, guardrails, and configuration governance to reduce risks like data leakage, retrieval poisoning, tool misuse, and unsafe autonomy
• How to evaluate and operationalize the three CIS AI Companion Guides, giving your team a clear roadmap for securing everything from simple chatbots to complex, tool‑driven autonomous workflows

Whether you’re deploying internal copilots, experimenting with local models, building agentic automation, or assessing third‑party MCP servers, this session will help you turn AI security from an open question into a repeatable practice.