Israeli cloud data security posture management platform startup Eureka today launched out of stealth mode with $8 million in seed funding.

YL Ventures led the round, with renowned security executives and serial entrepreneurs also participating.

Founded by Palo Alto Networks Inc. veterans Liat Hayun and Asaf Weiss, Eureka’s service is designed to enable security teams to mitigate the risk of data loss and theft in multicloud environments. It does so by delivering control over an organization’s entire cloud data security posture and compliance.

Eureka’s solution looks to address the problem where rapid cloud migration in corporations is growing as an increasingly attractive target for bad actors. The company argues that as the volume and value of cloud data rises, so does the risk associated with this data and the need for enterprises to comply with complex regulations.

Many data stores are generated and used within company environments outside of the supervision of security teams, which have neither the visibility nor the tools required to track and manage them globally.

Eureka addresses the growing challenge without inhibiting the productivity driving the cloud data expansion by using the power of automation. The company’s platform offers a discovery and classification mechanism and a unified policy engine that integrates with all cloud platforms and processes that organizations use today. It enables datastore inventory and contextualization, policy definition and deployment, and risk monitoring and management.

The solution is said to offer a higher layer of security compared to point solutions and native tools by providing comprehensive and real-time views of data stores and the risks associated with them.

“Existing solutions involve manual processes and point products that don’t scale to the speed or volume at which these data stores are created and used,” Chief Executive Officer Hayun said in a statement. “And, while most controls might exist natively, organizations are still struggling to use them effectively across their entire data store footprint.”

Image: Eureka