Chapter C · 8 pages · ~104 min

Prompt injection & AI security

A practical deep dive into Prompt injection: mechanism, controls, tradeoffs, failures, evaluation, and an end-to-end decision trace.

What you will be able to do

  • Explain Prompt injection using an accurate input-to-output mental model
  • Choose controls for Prompt injection and predict their quality, latency, cost, and risk effects
  • Diagnose realistic Prompt injection failures and design proportionate safeguards
  • Evaluate Prompt injection against a baseline with task-specific and operational evidence

Lessons in this topic

  1. 01Build the mental model13m
  2. 02Understand the mechanism13m
  3. 03Learn the controls and knobs13m
  4. 04Weigh the tradeoffs13m
  5. 05Anticipate failure modes13m
  6. 06Evaluate with evidence13m
  7. 07Trace a worked example13m
  8. 08Mastery: connect the pieces13m