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This article explores how AI agents, specifically Claude Code, streamline the threat hunting process in security operations. Using Model Context Protocol (MCP) servers, analysts can quickly gather evidence and prioritize threats for investigation, transforming a traditionally manual task into a more efficient workflow.
This article details the features of the Security Detections MCP server, which allows LLMs to query various security detection rules. It highlights enhancements like improved error handling, dynamic pattern extraction, and the introduction of 11 pre-built prompts for common security tasks.