This article explains how to use AI agents and Model Context Protocol (MCP) servers for effective threat modeling in security operations. It outlines the five layers of context needed for thorough analysis and emphasizes the importance of integrating internal software data to enhance detection coverage.

This article outlines a system for threat exposure management that uses AI agents to enhance cybersecurity. It describes how different AI agents can transform unstructured security information into actionable insights, generate detection analytics, and improve response strategies for security teams. The platform aims to consolidate various cybersecurity functions to streamline operations.