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Data Leakage Detection
7.1🔒Beyond Traditional Data BreachesData leakage in AI systems goes beyond traditional data breaches. It includes the model revealing training data, exposing system prompts…
7.2🔒Automated Data Leakage Scanner
7.3🔒System Prompt Extraction TestingSystem prompt extraction is a common preliminary step for attackers -- once they know the system prompt, they can craft more effective…
7.4🔒Cross-Session Context Leak TestingIn multi-user systems, one user's conversation context must never leak into another user's session.
7.5🔒Continuous Production Monitoring
7.6🔒Data Leakage Prevention Checklist- [ ] PII regex scanner runs on every LLM response before returning to user - [ ] System prompt extraction resistance tested with 10+…
7.7🔒Exercises: Chapter 7Exercise 7.1 (Beginner, 30 min): Implement the DataLeakageScanner and test it with 10 sample responses containing planted PII.
7.8🔒Q&ASelf-Assessment Quiz: Chapter 71. Name six types of data leakage specific to AI systems. 2. Why is system prompt extraction a preliminary step for more advanced attacks?…
7.9🔒Key Takeaways- Data leakage in AI has more dimensions than traditional data breaches - PII scanning on every response is a minimum requirement - System…
7.10🔒Career Translation- Deployed a real-time data leakage scanner across all LLM response paths, detecting PII (email, phone, SSN, credit card, API keys), system…
7.11🔒Q&AInterview Depth CheckPrompt: Your PII scanner flags the string "user@example.com" as a data leakage finding. How do you design the scanner to distinguish real…