https://github.com/cyberarber/ai-soc-detection-system
ML-powered SOC platform with autonomous threat detection and response. Reduces incident response time by 95% using AI agents.
https://github.com/cyberarber/ai-soc-detection-system
ai-agents cyber-security cybersecurity cybersecurity-tools elasticsearch machine-learning python soc threat-analysis threat-detection threat-intelligence
Last synced: about 2 months ago
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ML-powered SOC platform with autonomous threat detection and response. Reduces incident response time by 95% using AI agents.
- Host: GitHub
- URL: https://github.com/cyberarber/ai-soc-detection-system
- Owner: cyberarber
- Created: 2025-07-22T17:30:32.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-08-27T03:51:01.000Z (about 2 months ago)
- Last Synced: 2025-08-27T11:15:10.847Z (about 2 months ago)
- Topics: ai-agents, cyber-security, cybersecurity, cybersecurity-tools, elasticsearch, machine-learning, python, soc, threat-analysis, threat-detection, threat-intelligence
- Language: Python
- Homepage:
- Size: 1.68 MB
- Stars: 4
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AI-Powered SOC Detection System
ML-powered SOC platform with autonomous threat detection and response. Reduces incident response time by 95% using AI agents.
## Architecture
- **AI Agents**: Autonomous alert analysis using ChatGPT
- **Detection**: Wazuh + Elasticsearch + Custom Rules
- **Automation**: n8n workflows + LangFlow chains
- **Dashboard**: Custom React interface (port 5000)
## Current Alert
- Rule 92058: Application Compatibility Database (T1546.011)
- Confidence: 85%
- Status: Monitoring