Opis
Prompt injection, tool misuse, memory poisoning, data exfiltration, and uncontrolled autonomy are not theoretical risks. They're active concerns for any team moving agents from prototype to production.This hands-on guide shows how to build, harden, and operate agentic AI in enterprise environments. Adnan Masood and Heather Dawe bring together agent engineering, security, and governance in one practical playbook.
You’ll classify agent use cases by risk, autonomy, and reversibility, design reliable agent loops with structured I/O and tool calling, ground actions with RAG and provenance controls, secure tools with least-privilege access and approval gates, and manage memory with redaction, rollback, and drift detection. The book also covers threat modeling, policy-as-code guardrails, red teaming, observability, incident response, and alignment with emerging standards and regulation. A running capstone project — CASA((Customer-facing Agentic Service Assistant) — and the TrustStack AI GRC toolkit make each pattern practical and reusable across enterprise scenarios.
By the end, you'll have the architecture patterns, security controls, operational playbooks, and governance artifacts to deploy enterprise-grade AI agents with stronger trust, lower risk, and production-ready confidence.