MIND Secures $72 Million to Automate Enterprise Data Security

The investment follows a period of rapid expansion for the firm, which reports 17x revenue growth and an 8x increase in its customer base over the past year. As organizations struggle to secure data moving at machine speed, MIND aims to replace manual, legacy security controls with its autonomous DLP platform. The company currently monitors billions of data events across GenAI, agentic AI, and IT environments.

Eran Barak, CEO and co-founder of MIND, noted that existing security tools were designed for a slower era and often fail to keep pace with modern autonomous systems. By utilizing AI to discover, classify, and remediate risks in real time, the platform seeks to minimize the manual investigation burden on security teams. Clients including Children’s Hospital Los Angeles and the National Geographic Society have already integrated the technology to track sensitive information as it interacts with AI-driven workflows.

Despite widespread AI adoption, internal surveys reveal that 65% of enterprises lack confidence in their current security controls, with one in five AI initiatives stalling due to weak data foundations. With this capital, MIND plans to scale its operations and deepen strategic partnerships to solidify its position in the evolving cybersecurity market. The company remains focused on its "Stress Free DLP" mission, aiming to provide visibility into data movement across endpoints, SaaS platforms, and internal file shares.