AI SOC Security Threat analysis using MCP Server
Overview
What is MCP AI SOC Sher?
MCP AI SOC Sher is an AI-driven Security Operations Center (SOC) framework that utilizes the MCP Server to convert natural language prompts into SQL queries dynamically, while also providing integrated security threat analysis and monitoring.
How to use MCP AI SOC Sher?
To use MCP AI SOC Sher, install it via pip, set your OpenAI API key, and run the server locally or remotely using command line interfaces.
Key features of MCP AI SOC Sher?
- Text2SQL Conversion: Converts natural language queries to optimized SQL.
- Multiple Interfaces: Supports STDIO, SSE, and REST API.
- Security Threat Analysis: Built-in SQL query security analysis.
- Multiple Database Support: Connects to SQLite or Snowflake databases.
- Streaming Responses: Provides real-time query processing feedback.
- SOC Monitoring: Offers monitoring capabilities for security operations.
Use cases of MCP AI SOC Sher?
- Automating SQL query generation from natural language for security analysis.
- Monitoring and analyzing security threats in real-time.
- Enhancing database security through AI-powered threat detection.
FAQ from MCP AI SOC Sher?
- Can MCP AI SOC Sher analyze all types of SQL queries?
Yes! It can analyze various SQL queries and provide security insights.
- Is MCP AI SOC Sher free to use?
Yes! It is open-source and free to use for everyone.
- How does the security threat analysis work?
It uses rule-based and AI-powered methods to detect potential SQL injection attacks and monitor sensitive table access.