MIND, the AI-native data loss prevention platform, has raised $72m in Series B funding, marking its second raise in just over a year as it scales efforts to protect enterprise data in the age of artificial intelligence.
The round was led by Crosspoint Capital Partners, with continued backing from existing investors YL Ventures and Paladin Capital Group. It follows MIND’s $30m Series A close a year earlier and takes the company’s total funding to $112m.
The raise lands at a pivotal juncture for the multibillion-dollar DLP sector, as artificial intelligence simultaneously widens the exposure of sensitive information and hands security teams new tools to contain it. MIND intends to use the fresh capital to broaden its footprint across major enterprise markets, strengthen technology and channel partnerships, and grow its team to keep pace with rising customer demand.
The company said the funding would let it move faster to help organisations safeguard sensitive data whether it is stored or in transit, with the broader aim of setting the standard for the next generation of DLP rather than simply updating an existing category.
MIND’s platform is built to give organisations complete oversight of sensitive information, from spotting where it lives to stopping it being lost. It discovers sensitive data across SaaS applications, GenAI and Agentic AI systems, endpoints, on-premise file shares and email, then classifies each file using a multi-layer AI engine that reads both content and context.
A context-aware detection layer is designed to flag genuinely risky activity while filtering out noise that would otherwise generate false alarms. Where issues do arise, the system can remediate data exposure autonomously, cutting down on manual investigation, and enforce policy-driven controls that either block risky activity outright or guide users towards safer behaviour in real time.
Over the past 12 months, MIND said it has grown revenue more than 17-fold and expanded its customer base eightfold, while analysing billions of data events in real time across GenAI, Agentic AI and conventional IT environments.
The company has prevented sensitive data loss across hundreds of thousands of endpoints and recently introduced its MIND AI DLP Agents, designed to take over the routine, day-to-day running of a DLP programme. MIND also said it became the first data security company accepted into Anthropic’s Cyber Verification Program and the first in its field to achieve ISO/IEC 42001 certification for responsible AI.
The company pointed to wider market research to underline the scale of the challenge it is targeting: while 90% of enterprises have already deployed generative AI tools and more than two-thirds are using AI agents, 65% say they lack confidence in their AI data security controls, and one in five AI initiatives fail because of weak data foundations.
MIND co-founder and CEO Eran Barak said, “Security leaders are being asked to protect data that moves at AI speed with complex, manual and incomplete tools designed for a slower world. DLP is a massive, established market, but it was not built with AI in mind. AI is accelerating the problem, giving people and autonomous systems new ways to access and move sensitive data at unparalleled speed. It also gives us the technology to reinvent how that data is protected.
“We believe this is the moment to redefine DLP and build MIND as the leader in data security for the AI era. In less than two years since emerging from stealth, we’ve built an eight-figure revenue business trusted by dozens of customers. Our results, and this funding, put MIND among a select group of cybersecurity companies scaling at this pace, but what matters most is how this will accelerate our growth and bring Stress Free DLP to every enterprise working to achieve AI governance and security.”
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