Data loss prevention grew up guarding files that moved at human speed. MIND’s pitch is that AI broke that assumption, and investors have put $72M behind it.
Crosspoint Capital Partners led the Series B, with YL Ventures and Paladin Capital Group returning. The Seattle company has now raised $112M in total, about a year after a $30M Series A.
The problem MIND names is that generative and agentic tools give both people and software new routes to reach sensitive data, while the controls meant to stop them were designed for a slower environment. Chief executive Eran Barak said security leaders are being asked to protect data moving at AI speed with manual and incomplete tools, and that the same technology creating the problem can also be used to rebuild the defence.
Growth claims are steep. MIND reports revenue up more than 17x and customers up 8x over the year before the announcement, and says it inspected billions of data events in real time across generative AI, agentic AI and IT systems while blocking losses on hundreds of thousands of endpoints.
Its platform runs on five functions: discovery across SaaS apps, AI tools, endpoints, file shares and email; classification using content and context; detection that separates real risk from noise; autonomous remediation; and prevention that either blocks risky activity outright or prompts a user to fix it. MIND AI DLP Agents are meant to run the routine program work without a human.
The company also points to firsts: acceptance into Anthropic’s Cyber Verification Program and ISO/IEC 42001 certification for responsible AI. Children’s Hospital Los Angeles blocks protected health information from entering AI tools with it, and the National Geographic Society labels sensitive documents and tracks when data reaches agents.
