11 Controls for Zero-Trust Architecture in AI-to-AI Multi-Agent Systems: A Framework for Secure Machine Collaboration in the Age of AI Kindle Edition

11 Controls for Zero-Trust Architecture in AI-to-AI Multi-Agent Systems introduces a security framework designed specifically for environments where autonomous AI agents communicate, coordinate, and act without human mediation. As AI systems become increasingly interconnected, the greatest security risks no longer exist at the network edge, but within the internal communication and decision pathways of the systems themselves.This book defines eleven foundational controls that establish cryptographic identity, enforce policy and authorization, regulate behavior, preserve integrity and provenance, enable forensic accountability, and provide containment and recovery mechanisms when compromise occurs. Together, these controls form a continuous validation cycle that reduces risk while preserving operational capability.Intended for practitioners and technical leaders responsible for building or securing intelligent systems, this book provides architectural guidance, design patterns, and real-world considerations for implementing zero-trust principles in modern AI ecosystems. Read more