Securing AI Systems in the Age of Generative Intelligence
The definitive enterprise guide to defending modern AI systems against prompt injection, RAG exploitation, and agent autonomy vulnerabilities.
The definitive enterprise guide to defending modern AI systems against prompt injection, RAG exploitation, and agent autonomy vulnerabilities.
Generative AI is transforming how enterprises build software, but it introduces a new security frontier defined by prompts, model outputs, retrieval pipelines, and autonomous agents.
This book explains why classic network firewalls and WAFs are necessary but insufficient for GenAI, and how LLM firewalls (AI gateways) restore control.
Build a defensible roadmap for enterprise AI security and deploy GenAI capabilities that are scalable and safe in production environments.
How prompt injection works (direct and indirect) and how to reduce blast radius.
How RAG pipelines become an exfiltration path—and how to harden retrieval safely.
Apply DLP, schema enforcement, and output validation for AI responses.
Govern tools, plugins, and agents using least privilege and approvals.