Self-defending HTTP proxy with 9 autonomous layers: ML-KEM-1024/ML-DSA-87 post-quantum crypto, moving-target defense, digital twin, and a learning engine that improves from real attacks. 471 attacks blocked, 0 breaches in 7 days. Open source GPL v3.
AEGIS is an advanced autonomous cyber-defense system designed to counter both modern and quantum-era threats. Comprising a robust nine-layer architecture, AEGIS leverages NIST-standardized post-quantum cryptography to protect network services without requiring any human intervention.
Core Features
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Autonomous Defense: AEGIS operates independently, implementing cybersecurity measures in real-time to adapt and respond to threats as they arise.
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Post-Quantum Resilience: Prepared for the eventual advent of quantum computing, AEGIS integrates post-quantum cryptographic standards such as ML-KEM-1024, ML-DSA-87, and SPHINCS+ to ensure secure communications against future threats.
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Defensive Architecture: The system's structure includes multiple layers designed for different functions, from initial traffic handling to forensic analysis and learning from attacks. Key layers include:
Incoming traffic | [C0] Crypto Foundation [C1] Digital Twin [C2] Minefield [C3] Detector | threat detected [C4] Lockdown [C5] AMTD (Adaptive Moving Target Defense) [C6] Bubble [C7] Forensic [C8] Learning | Protected service
Key Properties
- Defensive Only: AEGIS does not engage in active reconnaissance or counterattacks, focusing solely on protective measures.
- Single-Process Efficiency: Built with pure Python asyncio, it avoids complications associated with threading and microservices, ensuring a streamlined performance.
- Stateless Design: The architecture allows for easy system restarts without leaving behind any unwanted persistent state.
- Immutable Forensics: Forensics are secured through an immutable digital twin that offers reliable post-incident analysis.
Performance Evaluation
With 611 passing unit tests and excellent performance in red team scenarios, AEGIS is engineered for reliability. Importantly, it maintains detection capabilities even during high loads, with zero recorded security breaches.
Live Demonstration
- Production Link: AEGIS Production
- Dashboard: AEGIS Dashboard
- Quantum Demo: Quantum Demo
Contributions
AEGIS is open to collaboration and enhancements in various areas, such as detection methods and performance optimizations. Developers interested in contributing to this project can engage with the community to explore potential improvements.
For more details, visit the official website AEGIS or reach out via email at contacto@aegis-pq.com.
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