Don't Trust Your AI Agent (Until You Take This Course)
AI agent security course with certificate. Learn threat modeling, Docker isolation, permission boundaries, prompt injection defense, and skill vetting — with real CVEs and attack scenarios. 8 lessons.
AI agents can browse the web, run code, manage files, and send emails on your behalf. That’s powerful — and dangerous if you don’t know what you’re doing. Researchers have already documented real attacks: credential theft through prompt injection, unauthorized file access, and data exfiltration through seemingly innocent tools.
Most people install AI agents the way they install phone apps — click yes to everything and hope for the best. This course is for people who’d rather not learn security lessons the hard way.
You’ll start with real incidents — actual CVEs and documented attacks against AI agents — so you understand what can go wrong before it goes wrong for you. Then you’ll build defenses: Docker isolation with hardening flags most tutorials skip, permission boundaries that follow least-privilege, and a skill-vetting framework for evaluating third-party tools before you install them.
The course also covers prompt injection honestly. It’s an unsolved problem — no defense works 100% of the time. You’ll learn layered mitigations that reduce your risk while understanding the limits.
What You'll Learn
- Identify the documented attack vectors targeting AI agents using real CVE and research data
- Apply the OWASP Top 10 for Agentic Applications to build a threat model for any AI agent deployment
- Implement Docker isolation with 5 hardening flags that block the most common agent exploits
- Design permission boundaries using least privilege, scoped tokens, and credential isolation
- Evaluate third-party skills using a 5-point vetting framework before installation
- Build a monitoring setup that detects credential leaks, unauthorized tool calls, and anomalous agent behavior
- Explain why prompt injection succeeds against 85%+ of current defenses and apply layered mitigations
- Create a personal security policy that covers agent permissions, incident response, and weekly review
After This Course, You Can
What You'll Build
Course Syllabus
Prerequisites
- Basic familiarity with AI agents (chatbots, coding assistants, or tools like OpenClaw/Claude Code)
- Comfort using a terminal (command line basics)
- No security background required — we teach everything from scratch
Who Is This For?
- Developers using AI coding agents (Claude Code, Cursor, Windsurf) who want to lock down their setup
- Teams evaluating OpenClaw or similar agents and need a security checklist before deployment
- IT admins responsible for AI tool security across an organization
- Anyone curious about AI agent risks who wants real data instead of FUD
Frequently Asked Questions
Do I need a security background?
No. This course teaches security concepts from scratch using real examples. If you can use a terminal and have interacted with an AI agent, you're ready.
Is this only about OpenClaw?
OpenClaw is our primary case study because it has the most documented security research. But every principle — threat modeling, isolation, permissions, monitoring — applies to Claude Code, Cursor, Windsurf, and any AI agent.
Will this course teach me to hack AI agents?
This is a defensive security course. You'll learn how attacks work so you can prevent them. We cover real attack data from security researchers, not attack tools.
I already use Docker. Do I still need Lesson 3?
Probably yes. AI agent containers need specific hardening flags (--cap-drop=ALL, --read-only, non-root user) that most Docker tutorials don't cover. Lesson 3 focuses on agent-specific isolation.
