Scanner raised $22 million in a Series A round led by Sequoia Capital to scale its cloud-native security data lake and AI-driven detection platform. Its Model Context Protocol (MCP) server links AI agents to indexed data lakes for fast threat hunting, continuous detection, and quicker responses than traditional SIEMs. #Scanner #SequoiaCapital #ModelContextProtocol #MCP #SIEM
Keypoints
- Scanner secured $22 million in Series A funding led by Sequoia Capital with participation from CRV, Mantis VC, and angel investors.
- The company provides a cloud-native security data lake for fast threat hunting and continuous detection and response.
- It builds inverted indexes at ingestion to run targeted scans on relevant data and scale compute dynamically to reduce costs.
- Scanner’s MCP server connects AI agents to organizations’ data lakes to enable correlated summaries, interactive investigations, and autonomous response.
- The solution claims faster detection and response than traditional SIEMs by indexing data where it lives and running continuous detections on the full stream.
Read More: https://www.securityweek.com/scanner-raises-22-million-for-ai-powered-threat-hunting/