SARAHAI-ZERO_TRUST is an AI-driven, next-gen security analytics solution that provides Pattern-of-Life (PoL) anomaly detection, Zero-Trust security enforcement, and real-time threat mitigation using machine learning.
Unlike traditional SIEMs (like Splunk, IBM QRadar, or Microsoft Sentinel), SARAHAI-ZERO_TRUST incorporates KDE (Kernel Density Estimation) and Isolation Forest anomaly detection to model behavioral patterns dynamically. It also supports edge processing (Windows 11), automated Vault-based credential rotation, Kafka-based streaming, and Prometheus observability.
 
2. Key Features & Functionalities
🚀 Machine Learning-Based Threat Detection
✅ KDE for Pattern Learning: Models normal user/system behavior to detect outliers
✅ Isolation Forest Anomaly Detection: Identifies abnormal patterns based on statistical deviations
✅ Pattern-of-Life (PoL) Analysis: Continuously learns and updates behavior models
🔐 Zero-Trust Security & Enforcement
✅ Geo-Velocity Anomaly Detection: Flags impossible travel anomalies in authentication logs
✅ Firewall Log Ingestion: Captures and analyzes network logs for potential intrusions
✅ Edge Processing (Windows 11 Ready): Runs locally for enhanced endpoint security
💡 SIEM Capabilities & Streaming
✅ Multi-Layer Event Correlation: Cross-references security events for better detection
✅ Kafka Streaming Integration: Sends flagged anomalies to a Kafka topic for real-time analysis
✅ OpenDocument Spreadsheet (ODS) Export: Allows easy report generation and data sharing
🔑 Secrets Management & Observability
✅ Vault Secrets Rotation: Uses HashiCorp Vault for automatic database credential rotation
✅ Automated PostgreSQL Credential Management: Ensures secure DB user password updates
✅ Prometheus Metrics & Health Monitoring: Tracks system health & anomaly rates