Scanner, a cybersecurity data platform focused on enabling faster threat investigations through AI-driven analytics, has raised fresh capital of $22m.
The company has secured $22m in Series A funding in a round led by Sequoia Capital, with participation from CRV and Mantis VC. The investment aims to support the company’s mission of providing security teams with a faster and more cost-effective way to analyse massive volumes of log data.
The round also attracted backing from a number of angel investors with deep cybersecurity expertise, including Christina Cacioppo, founder and CEO of Vanta, Tom Killalea, chairman of the board of MongoDB and Amazon’s first CISO, and Venkat Venkataramani, founder of Rockset and current head of OpenAI infrastructure.
Scanner develops a data platform designed to help security teams investigate threats across large stores of historical logs. Traditional security information and event management (SIEM) systems often require costly data ingestion and typically retain searchable data for only limited periods.
As a result, organisations frequently move large datasets to object storage to control costs, but this can make searches slow and difficult. Scanner’s platform aims to bridge this gap by combining the cost benefits of object storage with the search performance expected from SIEM tools, enabling security teams to analyse years of log data in seconds.
The platform relies on a newly designed indexing approach optimised for object storage environments. When a query is run, Scanner dynamically scales resources to quickly locate relevant data and then scales back once the task is complete, reducing the cost associated with idle infrastructure.
This allows teams to investigate incidents more thoroughly, track indicators of compromise across extended time periods, and respond to emerging threats more quickly.
The newly raised capital will help the company expand its platform and bring its technology to a broader range of security teams. It also plans to continue developing capabilities that support AI-driven investigations and automated threat hunting, an area where demand is increasing rapidly as organisations deploy AI agents to assist with security operations.
Several high-profile organisations are already using the platform, including Notion, Ramp, BeyondTrust, Lemonade, Benchling, Postman and EliseAI. These companies rely on Scanner to search large volumes of log data that previously could not be analysed efficiently, improving visibility across their security infrastructure.
Ramp detection engineer Brandon Ledyard said, “Scanner gave us months of searchable history instead of two weeks. When new threats emerge, we build detections and search years of logs for IOCs very rapidly. Both are game-changers for security at scale.”
Sequoia Capital partner Bogomil Balkansky said, “Security teams generate massive amounts of data but can only afford to search a fraction of it. Scanner has built a fundamentally new approach to this problem, which enables companies to move into the agentic era of cybersecurity. AI is notoriously data hungry, and Scanner is the only technology on the market today that manages security data at AI scale.”
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