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.