Scanner, a cybersecurity company building a data platform designed for modern security operations, has announced new funding of $22m.
The company has raised $22m in a Series A funding round led by Sequoia Capital, with additional participation from CRV and Mantis VC. The investment is intended to accelerate the company’s mission to deliver faster and more scalable security data infrastructure for enterprise security teams.
Scanner develops a platform that allows organisations to search and analyse large volumes of security log data quickly, even when that information is stored in cost-efficient object storage systems. Traditionally, security teams have faced a trade-off: they can store data in security information and event management (SIEM) tools where it can be searched rapidly but only retained for short periods, or keep it cheaply in object storage where searching the data can take hours or even days. Scanner aims to bridge this gap by enabling teams to analyse years of log data at high speed without incurring the costs associated with traditional SIEM ingestion.
The company’s platform is built around a specialised indexing system designed specifically for object storage. When a query is initiated, the system temporarily scales its computing resources to retrieve results quickly before scaling back down when the task is complete. According to the company, this approach allows security teams to run investigations across months or years of logs and numerous data sources while only paying for the computing power used during the query.
Scanner said the newly secured capital will be used to expand the platform’s capabilities and bring its technology to a wider range of security teams. The firm is particularly focused on supporting the growing use of AI agents within security operations, where automated systems continuously analyse security data, investigate alerts and hunt for potential threats.
The company said several technology firms are already using the platform, including Notion, Ramp, BeyondTrust, Lemonade, Benchling, Postman and EliseAI. These organisations use Scanner to search across log sources that would otherwise be difficult to analyse quickly, helping security teams uncover potential threats that might otherwise remain hidden.
Over the past several months, the company has also observed rapid adoption of its platform by AI-driven security agents. These automated systems can run continuous queries across massive volumes of log data, correlating events across systems and generating contextual insights that support human analysts during incident investigations.
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.”
The investment round was also supported by a number of angel investors with backgrounds in cybersecurity and infrastructure. These include 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 infrastructure at OpenAI.
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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