AI Agent Security: AI Security

About this course

assisted development makes it faster than ever to build applications, but it also makes it easier to ship security mistakes at speed. This course teaches the fundamentals of application security for vibe coded apps through a practical, modern example: a web-based AI agent application with real tools, user data, authentication, and cloud access.

Instead of learning security only through theory, you’ll work through a classic real-world pattern many developers are now building: an AI-powered app that looks like a normal web product on the surface, but behind the scenes includes LLM workflows, tool calling, memory, and backend access. That makes it the perfect example for understanding both traditional app security and AI agent security together.

In this hands-on course, you’ll learn:

AI Securitycore application security concepts every AI-assisted developer should knowOWASP-style risks including injection, auth flaws, insecure defaults, and over-permissioned systemshow AI code generation can introduce vulnerabilities into apps and agentshow to recognize insecure patterns in generated code and architecturesecure coding patterns for input validation, authentication, authorization, and sensitive data handlingsecrets management, dependency hygiene, and common supply chain riskshow to reduce blast radius in agentic systems with layered defenseshow to use automated scanning and AI-powered review workflows before deploymenthow to build a personal security checklist for rapid AI-assisted developmentA major focus of the course is showing how a classic web-coded AI agent can become vulnerable to prompt injection, data exfiltration, broken authorization, memory attacks, and excessive privilege and then walking through how to fix those issues step by step

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