AI Agent Security: OWASP Top 10 for Agentic AI Systems

"This course contains the use of artificial intelligence."

AI agent security is quickly becoming a core skill for engineers, architects, and security leaders building autonomous systems. This course teaches agentic AI security through the OWASP Top 10 for Agentic Applications, using real attack scenarios, technology maps, and practical defense patterns you can apply to AI agents in production.

You will learn how prompt injection, goal hijack, tool misuse, identity and privilege abuse, supply chain compromise, memory poisoning, insecure inter-agent communication, cascading failures, human trust exploitation, and rogue agent behavior appear in real systems. We also cover guardrails, secure architecture, runtime validation, least privilege, memory controls, and governed autonomy for agentic AI systems.

Each module connects theory to enterprise reality. You will walk through realistic attack chains in customer support, finance, DevOps, healthcare, retail, and multi-agent automation. Then you will break down the terminology, trust boundaries, control points, and design decisions that prevent the same failure in production.

By the end of the course, you will be able to explain the OWASP agentic AI risk model, recognize how AI agent security issues show up in live workflows, and evaluate the guardrails needed to build safer autonomous applications.

This course is designed for security engineers, AI engineers, architects, product leaders, and technical managers who want a practical framework for securing AI agents and agentic applications.