Become an AI security engineer
Protect AI systems from attacks, data leaks and misuse.
For: Security and software engineers who will defend systems that use AI agents.
- 10 steps
- stops on the route
- 10 lessons
- you finish in total
- 1 course
- the lessons come from
- ~3h reading
- all lessons together
Finish every lesson to earn a certificate of completion that anyone can verify. Jump to the certificate ↓
Honest note: The ten steps follow the AI Security Engineer course. Network and cloud security basics are not taught here. Extra reading from other courses is listed at the end.
How to read this page. A roadmap is a route made of 10 steps. Each step has one lesson. There are 10 lessons in total. Extra reading is listed at the end of the page. It does not count towards your progress.
- AI Security Engineer0/10 done
Certificate of completion
Earn your AI security engineer certificate
Verified edition
Mark every lesson in this roadmap complete. You have finished 0 of 10. 10 to go.
See a sample certificate. Anyone can check a certificate with its code at /verify. It records course completion. It is not an exam or an accredited qualification.
- 1
Step 1 of 10
Understand what is new in AI security
Explain why instructions and data mixing in one stream creates new attacks.
Lessons0/1 doneBefore you move on: Try to make a small assistant ignore its rules, and write down what worked.
- 2
Step 2 of 10
Threat-model a system
Draw the system, mark trust boundaries and rank the threats.
Lessons0/1 doneBefore you move on: Draw an assistant that reads a shared drive and sends email, and write six ranked threats.
- 3
Step 3 of 10
Understand prompt injection
Know direct and indirect injection, and the layered defenses.
Lessons0/1 doneBefore you move on: Run five attacks on a small assistant and add one defense for each that worked.
- 4
Step 4 of 10
Stop data leaks
Map the leak paths and keep customers apart.
Lessons0/1 doneBefore you move on: Write a two-account test that proves one customer cannot see another's data.
- 5
Step 5 of 10
Secure agents and tools
Give agents the fewest tools and check every tool call in code.
Lessons0/1 doneBefore you move on: Write a tool policy with limits, approvals and what the approval screen shows.
- 6
Step 6 of 10
Control the supply chain
Know the models, packages, data and tool servers you depend on.
Lessons0/1 doneBefore you move on: Make a bill of materials for an AI app and add three controls.
- 7
Step 7 of 10
Red team your own system
Attack safely, record findings and turn them into regression tests.
Lessons0/1 doneBefore you move on: Run eight attacks, write one full finding and its regression test.
- 8
Step 8 of 10
Add guardrails and monitoring
Use plain-code limits, useful logs and alerts with owners.
Lessons0/1 doneBefore you move on: Design the guardrails, the log fields and three alerts for an assistant.
- 9
Step 9 of 10
Respond to incidents
Contain first, communicate plainly and learn without blame.
Lessons0/1 doneBefore you move on: Run a tabletop drill and write the first-hour plan and the user message.
- 10
Step 10 of 10
Get interview-ready
Answer security design questions with a method, and show real artifacts.
Before you move on: Answer the web-browsing agent question aloud in ten minutes, and fix your weakest part.
Hands-on lab · build confidence
Attack and harden a practice assistant
Try ten attacks on a sandbox assistant, write the findings, add defenses and test again.
No code · 3 to 5 hours
Optional
Want to go further?
These lessons come from other courses. They are extra reading. They do not count towards your progress or the certificate.
- ○Guardrails & Agent SecurityCourse: Agent Ops & Governance
- ○Security, Safety & Human OversightCourse: AI Engineering & Agentic AI Architect
- ○Evaluation, Testing & Red TeamingCourse: AI Engineering & Agentic AI Architect
- ○Security & Privacy for Client DataCourse: AI Automation Builder
- ○Human Oversight & ApprovalsCourse: Agent Ops & Governance
- ○Governance, Compliance & Incident ResponseCourse: Agent Ops & Governance
- ○Observability & TracingCourse: Agent Ops & Governance
Other roadmaps
Get reliable results from AI in your daily job, with no coding.
From how models work to agents you can ship and trust.
Know when one agent is enough, and how to run many safely.
Go from a brief to a live, good-looking site, and work with clients.