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BuildingAI Security

Adversarial Phishing Detection

Simulated arms-race where an LLM attacker and classifier defender co-evolve.

🎯The Problem

Phishing attacks evolve faster than static classifiers can adapt. Real-world security requires adaptive defenses.

💡The Solution

Attacker agent (PhishGen) generates evolving phishing emails. Defender agent (PhishShield) retrains to resist them. Loop controller coordinates the adversarial training.

Key Highlights

  • LLM-powered phishing generation
  • Continuous adversarial training
  • Evolution timeline visualization