MIND Raises $72M Series B to Scale AI-Native Data Loss Prevention

Seattle-based data security company MIND announced on September 17, 2026 that it has raised $72M in Series B funding. Crosspoint Capital Partners led the round, with participation from existing investors YL Ventures and Paladin Capital Group, and the new capital brings MIND’s total funding to $112M.

The raise comes roughly a year after MIND’s $30M Series A round. The company, which describes itself as an AI-native data loss prevention (DLP) platform, said the investment will fund its strategic growth as enterprises rebuild data security for a world where AI moves faster than their controls. MIND described the investment as arriving at a defining moment for the multibillion-dollar DLP market and said AI both accelerates the risks surrounding sensitive data and creates an opportunity for the company to fundamentally reinvent how organizations protect it.

Reported Growth and Milestones

MIND reported that in the year preceding the announcement it achieved revenue growth of more than 17x and customer growth of 8x. The company said that over the same period it analyzed billions of data events in real time across GenAI, agentic AI, and IT environments, and stopped sensitive data loss across hundreds of thousands of endpoints.

The company also pointed to product and certification milestones from the same period. It launched MIND AI DLP Agents, software the company says autonomously takes on the day-to-day work of running a DLP program. MIND said it was the first data security company accepted into Anthropic’s Cyber Verification Program and the first to earn ISO/IEC 42001 certification for responsible AI. Co-founder and CEO Eran Barak said that in less than two years since emerging from stealth, MIND has built an eight-figure revenue business trusted by dozens of customers.

Platform Capabilities and Use of Proceeds

MIND said it raised the Series B to accelerate development of what it calls its Stress Free DLP platform, which it describes as simple, autonomous, and complete, and to meet demand for more effective data security. The company said the investment will help it expand its presence across key enterprise markets, deepen strategic technology and channel partnerships, and scale its team to serve a rapidly growing customer base. MIND framed its ambition as doing more than modernizing an established category, saying it intends to define the next era of DLP and establish itself as its leader.

The announcement describes a platform organized around five functions. The discovery function identifies sensitive data across SaaS applications, GenAI and agentic AI tools, endpoints, on-premise file shares, and email. A multi-layer AI classification engine classifies data using both the content and context of every file. The detection function applies context-aware intelligence that the company says separates meaningful risk from noise and reduces false positives. Remediation addresses data exposure and security issues autonomously to reduce manual investigation and response, while prevention uses policy-driven controls that can automatically block risky activity in real time or work with users to fix risks and educate them on policies. MIND said the platform is designed to help organizations understand what sensitive data they have, recognize risk, and take action before data is lost, whether that data is at rest or in motion.

The company also tied the raise to enterprise AI adoption figures cited in the announcement. According to those figures, 90% of enterprises have deployed GenAI tools and more than two-thirds are using AI agents, while 65% lack confidence in their AI data security controls and one in five initiatives fail due to weak data foundations.

Executive, Investor, and Customer Statements

“Security leaders are being asked to protect data that moves at AI speed with complex, manual and incomplete tools designed for a slower world,” Barak said. He described DLP as a massive, established market that was not built with AI in mind, and said AI is accelerating the problem by giving people and autonomous systems new ways to access and move sensitive data while also providing the technology to reinvent how that data is protected. Barak said the results and the funding place MIND among a select group of cybersecurity companies scaling at this pace, and that the capital will accelerate growth and bring Stress Free DLP to every enterprise working to achieve AI governance and security.

Zach Sivertson, managing director at Crosspoint Capital Partners, said AI is fundamentally changing data security and increasing the importance of a unified approach to DLP that can protect sensitive data wherever it lives or moves. He said MIND has demonstrated strong momentum since Crosspoint’s Series A investment and the company’s selection as an RSAC Innovation Sandbox finalist, adding that Crosspoint is proud to lead the Series B and deepen its partnership with MIND as it helps enterprises reimagine how they protect sensitive data in the AI era.

Two customers described their deployments in the announcement. Conrad Band, CIO of Children’s Hospital Los Angeles, said that as the hospital expands its staff’s use of AI, protecting patient information without slowing innovation is essential. “MIND lets us discover and block protected health information from entering AI tools across our endpoints without any performance impact,” he said, adding that the platform has given his team the confidence to keep moving forward with AI adoption while keeping patient data protected.

Mark DeCarlo, senior manager of security engineering and technology at the National Geographic Society, said his organization uses MIND to identify and label sensitive documents and restrict public sharing. He said the platform provides visibility into where and when the organization’s data interacts with AI agents, something he said the organization did not have before, and that it has become a key part of how the organization protects data.