Ai Soc Sher
Analyzes security threats using AI-powered natural language to SQL conversion on an MCP Server.
About
AI Soc Sher is an AI-driven framework designed for security operations centers (SOC) to analyze security threats. It leverages an MCP Server to convert natural language prompts into SQL queries, enabling dynamic interaction with databases. With support for multiple interfaces (STDIO, SSE, REST API) and databases (SQLite, Snowflake), it provides real-time query processing and security analysis features, including SQL injection detection and sensitive table access monitoring. Its security features, along with its configurable security levels and actions, contribute to SOC monitoring and threat mitigation.
Key Features
- Text2SQL Conversion
- Multiple Database Support
- 0 GitHub stars
- Security Threat Analysis
- Streaming Responses
- SOC Monitoring
Use Cases
- Analyzing suspicious login attempts
- Detecting potential SQL injection attacks
- Monitoring sensitive table access
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