Data Behavior Analytics (DaBA) provider Cyberhaven last week revealed it secured $13 million in Series A funding amid the launch of its DaBA solution.
The company claims to take a new approach to protecting business-critical data, by providing organizations with visibility into the behavior and movement of corporate trade secrets across both cloud and on-premises environments.
Analysis of data behavior, Cyberhaven says, allows security teams to instantly understand the root cause of data loss, thus enabling them to address incidents in minutes, instead of weeks.
Cyberhaven’s DaBA seeks to deliver the visibility businesses need to ensure their data is secure, as it can analyze the flow of data across all corporate assets, including SaaS and homegrown applications.
Due to the rapid adoption of SaaS applications, the company notes, corporate trade secrets are being stored and shared across a variety of platforms, which exposes them to insider threats and other forms of data loss, exfiltration or misuse.
With full visibility into the behavior and flow of data, organizations can instantly trace the path of exfiltrated data before and during any incident, meaning they can immediately understand where the data went, who accessed it and when.
Cyberhaven’s platform doesn’t require organizations to make changes to data, applications, cloud services or other IT infrastructure, and can be deployed without major policy creation or data classification efforts.
The financing round was co-led by Vertex Ventures and Costanoa Ventures, but also received participation from Crane Venture Partners and angel investors, such as former Facebook CSO Alex Stamos; Veritas co-founder and former VP of infrastructure engineering at Facebook, Jeff Rothschild; and Kamal Shah, pioneer of the Cloud Access Security Broker (CASB) market.
Related: Panorays Raises $15 Million in Series A Funding Round
Related: 1Password Raises $200 Million in Series A Funding
Related: Privacy Platform Provider Securiti.ai Emerges From Stealth With $31 Million Funding
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