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# MIND Raises US$72M to Rebuild Data Loss Prevention for the AI Era
- URL: https://www.theinvestorsociety.com/mind-raises-us-72m-to-rebuild-data-loss-prevention-for-the-ai-era/
- Published: 2026-09-19T01:00:52.000Z
- Updated: 2026-09-19T01:00:51.000Z
- Author: The Editor
- Tags: Western Hemisphere

MIND, a Seattle-based data security company, announced a US$72 million Series B on September 17, 2026\. Crosspoint Capital Partners led the round, with existing investors YL Ventures and Paladin Capital Group participating. The financing brings total capital raised to US$112 million, following a US$11 million seed in late 2024 and a US$30 million Series A in mid-2025.

Co-founder and Chief Executive Officer Eran Barak leads the company, which sells an AI-native data loss prevention platform. The product discovers and classifies sensitive data, then detects and blocks it from leaving the organization across SaaS applications, endpoints, email, generative AI tools and on-premise systems. In July 2026 it added AI agents that build custom classifiers, draft policies and investigate incidents, with a natural language interface built on the Model Context Protocol. MIND says revenue grew more than 17-fold and its customer count eightfold over the past year, that it analyzes billions of data events in real time, and that it operates across hundreds of thousands of endpoints. Customers include Children's Hospital Los Angeles and the National Geographic Society. The company plans to spend the capital on platform development, expansion in key enterprise markets, technology and channel partnerships, and hiring.

## Market Context

Data loss prevention is one of the oldest categories in enterprise security and one of the least loved. The incumbent tools were designed for a world where data moved through a small number of predictable channels, and they were largely rule-based, which made them noisy, manual and easy to ignore. Generative AI broke the assumption underneath them. Employees now paste source code, patient records and contract terms into chat interfaces that did not exist when the policies were written, and the data leaves through a channel the tooling was never built to inspect.

The numbers cited around the round describe the gap in blunt terms: roughly 90% of enterprises have deployed generative AI tools, 65% say they lack confidence in their data controls for those systems, and one in five AI initiatives fails on weak data foundations. That combination is what makes a mature category suddenly fundable again, and it explains the lead investor. Crosspoint Capital is a cybersecurity-focused firm with a track record of taking positions in large, established security markets rather than emerging ones. MIND has also collected credentials that matter in enterprise procurement: ISO/IEC 42001 certification for AI management systems, and acceptance as the first DLP vendor in Anthropic's Cyber Verification Program in May 2026.

## The Signal

> "DLP is a massive, established market, but it was not built with AI in mind." — Eran Barak, Co-Founder and CEO, MIND

## Regional Relevance

For the United States, this is a bet on a replacement cycle rather than a new category. Data loss prevention is already a budget line at essentially every large American enterprise, sold for years by Symantec, Forcepoint and, more recently, bundled into Microsoft Purview. A startup with eight-figure revenue and dozens of customers is not creating demand; it is arguing that the installed base is obsolete. That is a much faster sales motion than category creation, and it is also a much more crowded one, because every incumbent is shipping its own AI data security story into accounts it already owns.

The regulatory backdrop gives the argument force. American healthcare and education institutions operate under HIPAA and FERPA obligations that do not pause for a new interface, and Children's Hospital Los Angeles appearing as a named customer is the clearest illustration of the buying trigger: protected health information moving into AI tools that no existing control inspects. US enterprises are also the most exposed to the state-level privacy laws and AI governance rules arriving faster than security teams can retool.

For Seattle and the broader Pacific Northwest, the round reinforces a pattern of enterprise security companies building next to the cloud platforms whose products they secure. MIND's founding team comes out of the Israeli cybersecurity pipeline, with YL Ventures, one of the most consistent early backers of that ecosystem, on the cap table since the seed. The company's structure, Israeli security engineering paired with a US commercial base, remains the default path for the category.

## The Other Side

**Can a startup out-sell a feature?** Microsoft Purview ships DLP inside licensing bundles that customers already pay for. Enterprises consistently prefer good-enough and included over better and separately procured, and the history of the security market is full of superior point products that lost to consolidation. MIND's answer has to be that AI-era data movement is a hard enough problem that the bundled version visibly fails, and that is a claim that gets tested at renewal, not at signature.

**How much of the growth is the AI cycle?** Seventeen-fold revenue growth from a small base during the year enterprises rushed to buy AI security controls is impressive and difficult to read. The question is what the retention curve looks like once the urgency purchases cycle through and buyers evaluate whether the tool changed their incident numbers.

**Does an AI-native DLP inherit the old failure mode?** Legacy DLP died of false positives. Replacing rules with models does not by itself fix that; it changes where the errors come from and makes them harder to explain to an auditor. Autonomous remediation raises the stakes further, since a wrong block in a clinical or newsroom workflow is a business interruption, not an alert.

## Sources & Transparency

- [MIND Raises $72M Series B Funding to Bring Complete DLP to the AI Era](https://www.prnewswire.com/news-releases/mind-raises-72m-series-b-funding-to-bring-complete-dlp-to-the-ai-era-302881118.html?ref=theinvestorsociety.com)
- [MIND Secures $72 Million for AI-Powered DLP](https://www.securityweek.com/mind-secures-72-million-for-ai-powered-dlp/?ref=theinvestorsociety.com)
- [Mind raises $72M to stop sensitive data leaking into AI tools](https://siliconangle.com/2026/09/17/mind-raises-72m-to-stop-sensitive-data-leaking-into-ai-tools/?ref=theinvestorsociety.com)
- [Mind Raises $72M to Rebuild DLP Around AI Agents](https://www.bankinfosecurity.com/mind-raises-72m-to-rebuild-dlp-around-ai-agents-a-32860?ref=theinvestorsociety.com)
- [MIND raises $72m as AI turns data security urgent](https://fintech.global/2026/09/18/mind-raises-72m-as-ai-turns-data-security-urgent/?ref=theinvestorsociety.com)
- [MIND Raises $72M Series B to Scale AI-Native Data Loss Prevention](https://www.unite.ai/mind-raises-72m-series-b-to-scale-ai-native-data-loss-prevention/?ref=theinvestorsociety.com)