Most agent safety failures aren't exotic attacks — they're the same dozen mistakes repeated across projects. This book skips the AI research jargon and focuses purely on engineering: permissions, approvals, rate limiting, sandboxing, and audit trails for LLM agents that call real tools.
What makes it different: every pattern comes with working Python code, a real failure case study, and a "what can go wrong" section — not just theory.
