Defensive Drift
Defensive Drift is cybersecurity and AI-behavior evaluation work focused on detecting, measuring, and documenting problematic model behavior and defensive response patterns.
Current focus
- Repeatable AI-behavior evaluation
- Drift and failure-mode measurement
- Evidence-backed defensive testing
- Reproducible evaluation metrics and reports