AI Agent Security: App Security for Vibe-Coded Agents

<div>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.</div><div><br></div><div>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.</div><div><br></div><div>In this hands-on course, you’ll learn:</div><div><ul><li><span style="font-size: 1rem;">core application security concepts every AI-assisted developer should know</span></li><li><span style="font-size: 1rem;">OWASP-style risks including injection, auth flaws, insecure defaults, and over-permissioned systems</span></li><li><span style="font-size: 1rem;">how AI code generation can introduce vulnerabilities into apps and agents</span></li><li><span style="font-size: 1rem;">how to recognize insecure patterns in generated code and architecture</span></li><li><span style="font-size: 1rem;">secure coding patterns for input validation, authentication, authorization, and sensitive data handling</span></li><li><span style="font-size: 1rem;">secrets management, dependency hygiene, and common supply chain risks</span></li><li><span style="font-size: 1rem;">how to reduce blast radius in agentic systems with layered defenses</span></li><li><span style="font-size: 1rem;">how to use automated scanning and AI-powered review workflows before deployment</span></li><li><span style="font-size: 1rem;">how to build a personal security checklist for rapid AI-assisted development</span></li></ul></div><div><span style="font-size: 1rem;">A 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.</span></div><div><br></div><div>By the end of the course, students will understand how to build faster with AI without skipping security fundamentals, and how to apply practical defenses to both conventional software and modern AI agent applications.</div><div><ul><li>Short Attack List</li><li><span style="font-size: 1rem;">Prompt Injection</span></li><li><span style="font-size: 1rem;">Indirect Prompt Injection</span></li><li><span style="font-size: 1rem;">Injection Attacks</span></li><li><span style="font-size: 1rem;">Broken Authentication</span></li><li><span style="font-size: 1rem;">Broken Authorization</span></li><li><span style="font-size: 1rem;">Insecure Defaults</span></li><li><span style="font-size: 1rem;">Secret Exposure</span></li><li><span style="font-size: 1rem;">Data Exfiltration</span></li><li><span style="font-size: 1rem;">Memory Poisoning</span></li><li><span style="font-size: 1rem;">Tool Abuse</span></li><li><span style="font-size: 1rem;">Jailbreaks</span></li><li><span style="font-size: 1rem;">PII Leakage</span></li><li><span style="font-size: 1rem;">Dependency Risks</span></li><li><span style="font-size: 1rem;">Supply Chain Risks</span></li><li><span style="font-size: 1rem;">Excessive Permissions</span></li></ul></div>

What you'll learn:

• Identify the top security risks in AI agents and AI-generated applications, including prompt injection, auth flaws, insecure defaults, and data exposure
• Exploit and fix real vulnerabilities in a web-based AI agent using hands-on attack, defense, and verification exercises
• Apply secure coding patterns for input validation, authentication, authorization, secrets handling, and least privilege
• Recognize security issues introduced by AI coding tools and review generated code with a stronger AppSec mindset
• Reduce agent blast radius with tool restrictions, identity-aware controls, memory protection, and guardrails
• Use practical security review habits, checklists, and testing approaches before shipping AI-assisted applications