DarkPath AI: Phase Two – Advanced Exploits & Defensive Patterning in Machine Learning

DarkPath AI: Phase Two is the second part of our advanced training series exploring the more dangerous capabilities of artificial intelligence. While Phase One uncovered the risks of bias, opacity, and unintended use — Phase Two goes deeper into how AI systems can be deliberately manipulated or weaponized.

This session is designed for senior data engineers, ML ops teams, and system architects who want to:

• Study adversarial training tactics

• Recognize automated decision loopholes

• Detect subtle reward hacking or prompt poisoning

• Implement fail-safes and behavioral fencing

You’ll work in sandboxed AI environments where exploit simulations are safely executed, allowing you to test defense protocols in real time.