Scanner

Scanner is a cloud-native security data lake platform that enables teams to search and detect threats across petabytes of data in seconds. Founded to solve the fundamental problem that traditional SIEMs can only see about 1% of security data due to cost and scaling constraints, Scanner indexes data where it lives and runs detections continuously on the full stream.

The company offers a radically different approach to security data management, providing collect and enrich capabilities for building security data lakes, lightning-fast full-text search that's up to 700x faster than alternatives like Athena, and streaming detection engines that evaluate rules in real-time. Scanner is also purpose-built for the AI security era, with Model Context Protocol support that allows AI agents to explore security data freely.

With customers spanning fintech, healthtech, AI, and banking sectors - including notable companies like Ramp, Notion, Confluent, BeyondTrust, and LiveOakBank - Scanner operates as a remote-friendly organization with optional in-person collaboration in San Francisco, Mountain View, and Seattle. The company has raised Series A funding led by Sequoia Capital, with participation from CRV, SVCI, and Mantis VC, and employs 25 full-time team members focused on solving genuinely hard technical problems at petabyte scale.