
Security, Reliability, and Control for Real-World Workflows
AI agents are moving from demos to production. But most are deployed insecurely — prompts leak credentials, webhooks accept spoofed events, secrets sit in Git repos.
This book gives you a practical playbook to secure AI agents in production — no academic theory, no security theater. Just the patterns that actually work.
Prompts leak credentials. Webhooks accept spoofed events. Secrets sit hardcoded in Git repos. Access controls are an afterthought.
Most AI agent tutorials end at "it works on my machine." This book starts where those tutorials stop.
The playbook is here. 10 chapters covering every major attack vector and every countermeasure — written by someone who's actually deployed these systems.
No fluff. No padding. Just what you need to ship securely.
10 chapters. Every attack vector. Every countermeasure.
Prompts, webhooks, credentials — understanding what's at risk when AI agents go to production.
Practical threat modeling — real-world attack vectors, not academic theory.
The #1 killer of AI deployments — how credentials leak and how to protect them.
Signing, replay protection, and secure webhook implementations.
Sanitization, validation, and preventing server-side request forgery.
Human-in-the-loop controls and permission models that actually work.
Observability and response patterns for AI workflows.
Common exploit patterns and adversarial testing your team must run.
Self-hosted vs cloud tradeoffs — architecture decisions that matter.
Reference architecture — putting it all together in one complete system.
Not a beginner's guide. Not an academic text. A working playbook for teams shipping real systems.
This is not a book you'll read once.
It's the reference you'll open every time you're deploying a new AI workflow. Chapter 9 alone has saved teams from making architecture mistakes that cost months to fix.
Real Amazon reviews
“Finally, a book that bridges the gap between AI theory and real-world deployment. The author's cybersecurity background gives this a depth you won't find anywhere else. A must-read for anyone building AI agents in production.”
Rooh
·5 stars · Feb 27, 2026
“A very practical and insightful book on building AI agents for real-world use. Instead of just theory, it focuses on security, reliability, and control — the things that truly matter in production. Clear, structured, and highly recommended for developers and founders.”
Ayush
·5 stars · Feb 27, 2026
“This is exactly what I was looking for to help with AI agents use case in Automation of my business. Thanks for this book.”
Tusshar Goyal
·5 stars · Feb 27, 2026
“Must read for someone who is into AI. Great insights. Very knowledgeable.”
White Titan Trading Co.
·4 stars · Feb 27, 2026
“Really informative and nicely structured. Security in the era of AI as most important traits — giving a new lens towards technology from a security perspective.”
Tanishq Koul
·5 stars · Feb 27, 2026
“He has simplified the whole concept incredibly. Great work. I can tell the author is an amazing writer and very knowledgeable.”
Harsh Gangotre
·5 stars · Mar 1, 2026

Atul Pathria is Founder of Quinji, author of Production Ready AI Agents, and a speaker on AI, cybersecurity and technology governance. His work focuses on how AI systems can move from demos into real business operations with security, accountability, audit trails and human control.
He brings 15+ years of experience across production technology, cybersecurity and real-world systems, with work delivered across clients and teams in 55+ countries.
Production Ready AI Agents brings together his practical experience in AI systems, security, reliability, permissions, monitoring and failure handling for teams building AI beyond demos.
Production Ready AI Agents is available on Amazon. eBook and paperback.
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