Reinforcement Learning for Security, where AI attackers and defenders evolve together.
Red AI attacks while Blue AI defends with no human testers required. Continuous adversarial training 24/7.
Agent-to-Agent simulations that generate millions of adversarial dialogues humans could never enumerate.
Both sides learn from each other. Red improves attack techniques while Blue strengthens defenses.
Defense policies automatically updated based on successful attacks. No manual intervention needed.
AI vs AI battles uncover attack vectors that traditional testing completely misses.
Reward signals drive both attackers and defenders to continuously improve their strategies.
Audn Red (attacker) and Audn Blue (defender) are deployed together, targeting your AI system.
Audn Red generates novel attack vectors tailored to your AI's business context and behavior patterns.
Audn Blue attempts to block the attack. Success or failure is logged with full context.
Successful attacks teach Blue new defense patterns. Failed attacks teach Red new strategies.
Defense policies automatically improve. Attack corpus grows. Your AI gets harder to break.
Attacks
Gets Harder
Defends
Continuous Loop: Both sides learn, adapt, and improve, 24/7
RL-SEC is ideal for organizations that need continuous, automated security improvement.
Run millions of attack simulations before deploying your AI to production.
Keep your defenses evolving as new threats emerge in the wild.
Generate audit trails showing continuous adversarial testing for regulators.
Discover novel attack techniques before threat actors do.
Schedule a demo to see the Purple Team in action. Our team will contact you within 24 hours.