Foundations
Data Security for AI Systems
Protect sensitive data throughout the AI pipeline. Learn about data leakage, PII handling, training data security, and privacy-preserving AI techniques.
Introduction
Protect sensitive data throughout the AI pipeline. Learn about data leakage, PII handling, training data security, and privacy-preserving AI techniques.
4 Lessons
18h Est. Time
4 Objectives
1 Assessment
By completing this module you will be able to:
✓ Prevent data leakage through AI systems
✓ Implement PII detection and redaction
✓ Secure training data and model artifacts
✓ Apply privacy-preserving AI techniques
Lessons
Work through each lesson in order. Each one builds on the concepts from the previous lesson.
1
Data Leakage Through LLMs
2
PII Detection and Protection
3
Securing the AI Data Pipeline
4
Privacy-Preserving AI Techniques
Recommended Reading
Supplement your learning with these selected chapters from the course library.
Developer's Playbook for LLM Security
Chapters 9-12
Module Assessment
Data Security for AI Systems
Question 1 of 3