Lesson 1526 of 2116
Prompt injection fundamentals: trust boundaries in agent systems
Treat any external content reaching your model as untrusted input — and design trust boundaries that survive a determined attacker.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2trust boundary
- 3indirect injection
- 4tool isolation
Concept cluster
Terms to connect while reading
Section 1
The premise
Prompt injection is the AI equivalent of SQL injection; trust boundaries must be explicit and tools must be isolated.
What AI does well here
- Map every untrusted input source reaching your prompts.
- Draft tool-call validation rules with named owners.
What AI cannot do
- Eliminate prompt injection risk entirely.
- Replace human review for high-impact tool calls.
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “Prompt injection fundamentals: trust boundaries in agent systems”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 11 min
Prompt Injection: The Top Security Issue in AI Apps
Why instructions from your data can override your system prompt.
Creators · 9 min
AI for Resume English (Immigrant Career Edition)
American resumes look different from many other countries. AI can format your work history in the U.S. style and translate foreign job titles.
Creators · 8 min
When AI Gives Bad Advice About Rural Life
AI can be confidently wrong about country life — winterizing, livestock, well water, septic, you name it. Knowing where models break is part of using them well.