Securing Enterprise AI Agents: A Field Guide to Bounded AI Autonomy, AgentSecOps, and MCP Security
English | 2026 | ISBN: 1808828658 | 311 pages | True PDF,EPUB | 12.69 MB
Secure enterprise AI agents with bounded autonomy, AgentSecOps, MCP security, RAG governance, identity controls, evals, policy, observability, audit evidence, and production-ready security patterns.
Key Features Build secure AI agents with bounded autonomy and layered controls Secure MCP, RAG, identity, tool calls, and agent permissions Apply AgentSecOps, evals, observability, policy, and incident response Book Description AI agents can read sensitive data, call tools and APIs, write code, change system state, and act on behalf of users. Each action needs explicit authority and enforceable limits.
Securing Enterprise AI Agents is a practical field guide to bounded AI autonomy. Learn to classify agent risk, assign ownership and approval paths, and design a seven-layer reference architecture. Secure Model Context Protocol (MCP) servers and tool calls, apply delegated identity and least privilege, and govern retrieval augmented generation (RAG) and enterprise knowledge.
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Links are Interchangeable - Single Extraction