Scanner Raises $22 Million for AI-Powered Threat Hunting
Summary
Cybersecurity startup Scanner raised $22 million in a Series A round. Its cloud-native security data lake connects with existing tools and uses AI agents to support threat hunting, detection engineering, and response workflows.
Key points
- The Series A was led by Sequoia Capital, with participation from CRV, Mantis VC, and angel investors.
- Scanner’s cloud-native security data lake connects to organizations’ existing security tools and data sources.
- The platform offers a Model Context Protocol (MCP) server to connect AI agents to security data lakes.
- Scanner says its AI agents can correlate data sources and support interactive investigations, detection engineering, and autonomous response workflows.
- The company says its inverted indexes and continuous scans can speed up threat hunting and reduce costs by scaling compute with demand.
Article Details
- Event Type
- Cybersecurity startup funding
- Impact
- Scanner announced a $22 million Series A round led by Sequoia Capital, with support from CRV, Mantis VC, and angel investors. The funding supports a company offering a cloud-native security data lake and AI-powered threat-hunting and security operations capabilities.