Scanner Raises $22M Series A for

Scanner, a company specializing in security data management, has secured $22.0 million in its latest funding round.

The investment will support the company's mission to provide the world's fastest security data lake, making all security data instantly accessible to organizations.

Scanner addresses a prevalent challenge in cybersecurity where traditional Security Information and Event Management (SIEM) systems are often too costly to ingest comprehensive data.

Many security teams currently route the majority of their log data to object storage solutions like Amazon S3 due to SIEM expense.

However, these data lakes on S3 are typically slow and cumbersome for effective detection and response operations.

Scanner resolves this by directly indexing logs within S3, enabling petabytes of data to be searchable in seconds.

This approach eliminates the need for complex data pipelines, re-ingestion processes, or extensive schema work, streamlining security operations.

The company notes that its platform serves as a crucial data layer, particularly for the era of security agents, which are increasingly leveraging Scanner to hunt threats and investigate alerts with high speed and efficiency.

This capital injection underscores investor confidence in Scanner's technology and its potential to redefine how organizations manage and utilize their security data. The $22.

0 million in funding is expected to accelerate Scanner's product development roadmap, allowing for the introduction of new features and enhancements to its core platform.

Furthermore, the company plans to use the funds to expand its market reach, bringing its solution to a broader range of enterprises grappling with data volume and accessibility issues in their security postures.

Looking ahead, Scanner aims to solidify its position as a foundational component for modern security operations.

The company anticipates that this investment will enable significant growth, allowing it to further innovate and scale its capabilities to meet the evolving demands of cybersecurity professionals seeking faster, more efficient ways to manage and analyze their critical security logs.