Threat Detection System
Monitors file system changes in real time, applies machine learning for anomaly detection, secures data with RS256 encryption, and leverages Agentic AI for adaptive detection algorithms and report translation.
Acerca de
The Threat Detection System offers a robust solution for enterprise cybersecurity, utilizing a multi-faceted approach to safeguard client businesses. It employs a high-performance C++ agent to monitor over 50,000 file system events per minute with minimal CPU usage, efficiently transmitting suspicious activities to a Python ML engine via secure named pipes. This engine, trained on extensive threat data, achieves high detection accuracy and low false positives. Data integrity and confidentiality are further ensured through RS256 asymmetric encryption. An integrated Agentic AI dynamically generates adaptive detection algorithms and accurately translates security reports, empowering cybersecurity teams to rapidly isolate threats and significantly reduce ransomware impact within seconds.
Características Principales
- 0 GitHub stars
- Enterprise-Grade Data Encryption (RS256)
- Agentic AI for Adaptive Detection and Translation
- Real-Time File System Monitoring (C++ agent)
- High-Accuracy Anomaly Detection (Python ML engine)
- Automated Cybersecurity Response with Ransomware Mitigation
Casos de Uso
- Real-time threat detection and prevention in corporate environments.
- Accelerating incident response and ransomware containment.
- Securing sensitive enterprise data through robust encryption.
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