Building Secure AI Workflows: Architecture Patterns for Production Systems

By Caelen Drosvik

What happens when your AI application becomes successful enough to attract attention from attackers?

Most developers focus on making AI systems smarter. Few spend enough time making them secure.

That's where this book comes in.

I'm Caelen Drosvik, and I wrote this guide for developers, architects, engineers, security professionals, and technology leaders who want to build AI-powered systems that are not only intelligent but also resilient, trustworthy, and production-ready. Because let's be honest-an AI workflow that leaks data, accepts malicious prompts, or collapses under pressure isn't very intelligent after all.

In Building Secure AI Workflows, you'll learn how to design, deploy, and defend modern AI architectures using practical security patterns that work in real-world environments. From securing data pipelines and protecting large language model workflows to implementing zero-trust principles and defending against adversarial attacks, this book provides a roadmap for building AI systems that can survive outside the safety of a demo environment.

Inside, you'll discover:

- Core principles of secure AI architecture and workflow design
- Proven threat modeling techniques for AI applications
- Secure data pipeline strategies for protecting sensitive information
- Identity, authentication, authorization, and trust management best practices
- Defenses against prompt injection, manipulation, and malicious inputs
- Secure integration patterns for APIs, agents, and third-party services
- Monitoring, logging, and observability frameworks for AI environments
- Incident response and resilience strategies for production systems
- Governance, compliance, and regulatory considerations for AI deployments
- Advanced security patterns for autonomous and multi-agent AI systems

Whether you're building LLM-powered applications, enterprise AI platforms, intelligent agents, or next-generation automation systems, this book will help you identify risks before attackers do and implement safeguards before problems become headlines.The goal isn't to make you paranoid.The goal is to make you prepared.
Written in a practical, approachable style with real-world insights and actionable architecture guidance, this book turns complex AI security concepts into clear strategies you can apply immediately. You'll gain the confidence to design secure AI workflows, protect critical systems, and create solutions that users can trust.

Because the future belongs to organizations that can build powerful AI systems.

And keep them secure.

If you're ready to move beyond experimentation and start building production-grade AI systems with security at their core, this book belongs on your desk.

• Format: Paperback
• Language: English
• ISBN: B0HDQRFTBV
• ISBN13: 9798191961040
• Release Date: August 2026
• Publisher: Independently published
• Length: 392 Pages
• Weight: 2.01 lbs.
• Dimensions: 11.0" x 0.9" x 8.5"