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Enterprise AI Agent Security. A Practical Guide to MCP Security, Prompt Injection Defense, RAG Security, and Agentic AI Governance Thomas De Vos

Książka w języku angielskim angielski
Enterprise AI Agent Security. A Practical Guide to MCP Security, Prompt Injection Defense, RAG Security, and Agentic AI Governance Thomas De Vos - okladka książki

Enterprise AI Agent Security. A Practical Guide to MCP Security, Prompt Injection Defense, RAG Security, and Agentic AI Governance Thomas De Vos - okladka książki

Enterprise AI Agent Security. A Practical Guide to MCP Security, Prompt Injection Defense, RAG Security, and Agentic AI Governance Thomas De Vos - audiobook MP3

Enterprise AI Agent Security. A Practical Guide to MCP Security, Prompt Injection Defense, RAG Security, and Agentic AI Governance Thomas De Vos - audiobook CD

Autor:
Thomas De Vos
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
310
Dostępne formaty:
     PDF
     ePub

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Do przechowalni

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.
The book connects evaluations, observability and reliability controls with secure coding-agent workflows, policy as code, incident response and continuous AgentSecOps. Worked enterprise scenarios, exercises, illustrative code and a production-readiness checklist help engineering, security, risk and audit teams turn the guidance into controls they can assess.
By the end, you will be able to define boundaries for agent actions, collect audit evidence, plan for failures and assess whether the controls justify production deployment.

O autorze książki

Thomas De Vos is Director at HCLTech AI Labs and Global Financial Services AI Lead. He has spent around 11 years building AI systems and approximately 25 years shipping software, with extensive experience in financial services. His work focuses on taking AI beyond demos into secure, governed production environments, with particular emphasis on agentic AI, enterprise architecture, security, observability, and controlled autonomy.

Packt Publishing - inne książki

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