Scanner MCP – Your AI Agents and a Fast Data Lake = Faster SecOps (scanner.dev)

Scanner has announced its Model Context Protocol (MCP) server, designed to connect AI agents to security data lakes, enabling rapid and interactive security operations. This launch is significant for the AI/ML community as it addresses core limitations of traditional data lake tools, which are often too slow and costly for the exploratory workflows that AI agents require. With Scanner MCP, queries that previously took 30-45 minutes can now be executed in just 1-3 seconds and for a fraction of the cost, fostering a more dynamic investigative environment where AI can freely explore hypotheses, correlate data, and effectively detect threats. The MCP integrates seamlessly with various AI tools and protocols, enabling enhanced collaboration in security operations through interactive investigations, detection engineering, and autonomous workflows. Security teams can now rely on AI to assist in live investigations with real-time natural language queries and to automatically generate detection rules with high accuracy. Moreover, the autonomous workflow capabilities allow AI agents to operate continuously without human intervention, managing alerts and orchestrating response actions efficiently. This advancement not only optimizes threat detection and response times but also transforms the role of security analysts, emphasizing a collaborative approach between human intuition and AI's analytical power.