AI Security is a practical and architecture-driven book focused on securing modern artificial intelligence systems, especially runtime AI environments, agentic workflows, and enterprise AI infrastructure. The book introduces a structured way of th...
AI Security is a practical and architecture-driven book focused on securing modern artificial intelligence systems, especially runtime AI environments, agentic workflows, and enterprise AI infrastructure. The book introduces a structured way of thinking about AI security through concepts such as runtime DAGs, the OADE loop, governance controls, security entry points, observability, containment, and operational defense. Rather than treating AI security as a checklist, the book presents it as an evolving engineering and architectural discipline. It is written for cybersecurity professionals, architects, engineers, founders, students, and technology leaders who want to understand how AI systems should be secured in real-world environments. The book aims to help readers design, assess, govern, and defend AI systems as they become increasingly embedded in business and critical infrastructure.
Tags : AI Security,Artificial Intelligence Security,AI Governance,Runtime Security,Agentic AI Security,Cybersecurity Architecture,AI Risk Management,Secure AI Infrastructure