Detectify launches MCP server to integrate security testing into AI coding workflows

As reported by Silicon Angle, Detectify AB has launched the Detectify MCP Server, an integration layer designed to embed its security testing capabilities directly into artificial intelligence-driven coding workflows. This new offering aims to enable AI agents to identify, validate, and remediate exploitable vulnerabilities in real-time, addressing the growing challenge of AI-generated code outpacing human review cycles.

The Detectify MCP Server utilizes the Model Context Protocol (MCP), an open standard adopted across the AI industry for agent-tool communication. By exposing its scanning engines via MCP, Detectify allows AI agents to query findings and trigger validation autonomously within development loops. The server features a "Find & Fix" automation that allows agents to generate patches, trigger validation scans, and submit results for human review. Additionally, a conversational interface enables natural-language queries about scan results and asset status.

Chief Executive Rickard Carlsson emphasized that Detectify provides deterministic scanning engines, complementing the probabilistic reasoning of large language models, to ensure code quality before production. This launch follows similar MCP server releases from other security vendors, highlighting a trend towards making security tooling accessible to autonomous coding agents.

Source: Silicon Angle