AI Agents and the Security Nightmare Nobody's Solving
Identity, Authorization, and Trust in the Age of Autonomous AI
By Deepak Gupta1.5 hours8 chaptersPublished Updated
A practical book on AI agent security. Covers AI agent identity, MCP authorization and tool poisoning, zero trust for multi-agent systems, vibe coding security debt, and the CISO's guide to AI agent governance. Updated November 2026.
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When AI Gets Root Access
What happens when autonomous agents have broad system access: public incidents, illustrative scenarios, and the four escalation patterns.
The Non-Human Identity Explosion
Why machine identities outnumber humans 109 to 1, and the security implications nobody planned for.
How AI Agents Authenticate Today (Spoiler: Badly)
The current state of AI agent authentication: shared secrets, over-privileged tokens, thin audit trails, and the standards that fix them.
MCP and the Future of AI Integration Security
Model Context Protocol, tool poisoning, and securing the interfaces between AI agents and your systems.
Zero Trust for Multi-Agent Systems
Delegation chains, permission diminishment, and cryptographic identity verification for agent networks.
Vibe Coding and the Security Debt It Creates
When AI writes your code, who reviews the security? The hidden risks of AI-generated applications.
Building Identity Infrastructure for Autonomous Enterprises
Architecture patterns for organizations where AI agents are first-class citizens, not afterthoughts.
The CISO's Guide to AI Agent Governance
Policy frameworks, risk assessment models, and board-level communication for AI agent security.