SOVEREIGN: Self-Evolving Enterprise AI Immune

SOVEREIGN-A is the world's first self-evolving behavioral immune system for enterprise AI agents. Companies deploy hundreds of AI agents (reading emails, querying databases, managing files) with zero security monitoring. A single prompt injection attack can leak credentials or exfiltrate data. SOVEREIGN-A uses IsolationForest ML to learn each agent's behavioral DNA from 300 normal actions. Testing across 20 attack variants: rule-based keyword detection caught 40%. SOVEREIGN-A's behavioral detection caught 95% – a 2.35x improvement. When an attack is detected (within 0.3 seconds), SOVEREIGN-A launches a 5-phase active immune response: Phase 1: Attack captured in honeypot – attacker receives fake credentials. Phase 2: Attack reverse-engineered – feature vector extracted. Phase 3: Gemini 2.5 Flash generates 3 attack mutations. Phase 4: Pre-deploy blocking policies for all variants. Phase 5: Model retrains – generation increments, permanent immunity. Beyond detection, SOVEREIGN-A includes an Adversarial Arena with Q-learning that adapts its detection threshold in real time against an evolving attacker. A Cognitive Layer adds 5 intelligence modules: Q-Learning thresholds, causal inference, cross-agent episodic memory (847 agents share learning), federated intelligence (5 enterprises, zero raw data shared), and self-healing policies. Built on Veea Lobster Trap DPI proxy and powered by Gemini 2.5 Flash, SOVEREIGN-A delivers autonomous, self-evolving security with zero human intervention. Every attack makes it smarter. Live demo: https://sovereign.streamlit.app GitHub: https://github.com/FieroJain/sovereign