AEGIS-Mini Version

Inspiration The digital infrastructure of government institutions is increasingly vulnerable to evolving cyber threats. The concept of AEGIS-Mini V originated from the need to create a Zero Trust defense system that not only blocks threats but also autonomously isolates and neutralizes them using AI. My goal is to provide national-grade security to government data. What it does AEGIS-Mini V is an AI-Driven Zero Trust Cybersecurity Architecture that operates in real-time: Quantum Scanning Gates: Scans and validates data packets before they enter the system. The Black Box (Live Threat Trap): Isolates suspicious data in a secure Nested Sandbox to protect the core infrastructure. Human-AI Collaboration: 75% of decisions are handled by AI, with a mandatory 25% human oversight to ensure accountability. Self-Healing Loop: The system features a Learning Bridge that continuously updates itself based on new threat patterns. Challenges we ran into The primary challenge was balancing autonomous AI decision-making with strict human control. Furthermore, optimizing high-speed performance while maintaining deep quantum-based security required a complex architecture, which we successfully solved using distributed area nodes.