Agentic AI Security by Design is the definitive blueprint for securing autonomous AI agents in real-world production environments.

As organizations rapidly deploy AI agents capable of planning, reasoning, and taking action, traditional cybersecurity models are no longer enough. Agentic systems introduce new attack surfaces — prompt injection, tool misuse, model manipulation, data exfiltration, autonomous decision risks, and adversarial exploitation at machine speed.

This book delivers a practical, architecture-first approach to building secure, resilient, and trustworthy AI agents from day one.

Inside, you’ll learn how to:

• Design secure agent architectures with defense-in-depth principles
• Apply threat modeling specifically for LLM-powered and autonomous systems
• Implement Zero-Trust strategies for AI agents and tool access
• Conduct red-team exercises tailored for agentic workflows
• Prevent prompt injection and tool-chain attacks
• Secure memory, context, and external integrations
• Monitor, audit, and govern AI agents in production
• Align security controls with enterprise compliance requirements

Written for AI engineers, security architects, DevSecOps teams, CTOs, and forward-thinking developers, this guide bridges the gap between AI innovation and enterprise-grade security.

Whether you're building internal copilots, multi-agent systems, or customer-facing autonomous AI solutions, this book gives you the frameworks, patterns, and defensive strategies needed to deploy with confidence.

The future of AI is autonomous.
Secure it by design.