The Pulse
MIND Raises $72M to Automate Data Loss Prevention for AI
Seattle-based cybersecurity company MIND has raised $72 million in Series B funding led by Crosspoint Capital Partners. The company will use the capital to expand its AI-native data loss prevention platform, partnerships and enterprise oper
AI.info Team ·
MIND says conventional data loss prevention tools cannot keep pace with information moving through generative AI services, autonomous agents and enterprise systems. Investors are backing that argument with a $72 million Series B round for the Seattle-based cybersecurity company, led by Crosspoint Capital Partners with participation from existing investors YL Ventures and Paladin Capital Group.
The funding, announced September 17, 2026, brings MIND’s total capital raised to $112 million, one year after its $30 million Series A. The company says it will use the money to develop its autonomous DLP platform, expand into key enterprise markets, deepen technology and channel partnerships, and increase its workforce.
MIND’s pitch is a direct challenge to the operating model of legacy DLP. Static policies, manual reviews and large volumes of alerts were designed for more predictable data flows, while employees and software agents now move sensitive information across SaaS applications, endpoints, email, file shares and AI tools.
MIND Puts AI Agents Inside the DLP Workflow
The company’s platform is designed to discover sensitive information, classify it using content and context, identify risky activity, remediate exposure and block unauthorized movement. MIND says its controls can act in real time or guide employees through corrective steps, depending on an organization’s policies.
Its recently launched MIND AI DLP Agents take on recurring work involved in operating a DLP program. The company describes those agents as handling classification, investigation and remediation tasks that would otherwise require security analysts to review activity manually.
“Security leaders are being asked to protect data that moves at AI speed with complex, manual and incomplete tools designed for a slower world,” Eran Barak, co-founder and chief executive of MIND, said in the company’s announcement.
Barak said MIND has built an eight-figure revenue business in less than two years since emerging from stealth and is trusted by dozens of customers. The company reports more than 17-fold revenue growth and eightfold customer growth over the past year, though it did not disclose revenue, customer or valuation figures in its funding announcement.
Crosspoint Bets on a New DLP Category
Crosspoint’s investment gives MIND a backer with experience in the older generation of enterprise security products. Zach Sivertson, managing director at Crosspoint Capital Partners, said the firm’s view of MIND strengthened after the company’s Series A investment and selection as an RSAC Innovation Sandbox finalist.
“AI is fundamentally changing data security, increasing the importance of a unified approach to DLP that can help protect sensitive data wherever it lives or moves,” Sivertson said.
Crosspoint’s participation also places the financing within a broader contest over how enterprises will control data used by AI systems. MIND says 90% of enterprises have deployed generative AI tools and more than two-thirds are using AI agents, while 65% lack confidence in their AI data security controls. Those figures come from company-cited research presented in the funding announcement rather than from an independent measurement released with the round.
Customers Test the AI-Speed Security Model
MIND points to Children’s Hospital Los Angeles and the National Geographic Society as customers using the platform in different parts of their security programs. Conrad Band, CIO of Children’s Hospital Los Angeles, said the company uses MIND to identify and block protected health information from entering AI tools across endpoints.
Mark DeCarlo, senior manager of security engineering and technology at the National Geographic Society, said the organization uses MIND to identify and label sensitive documents, restrict public sharing and monitor how data interacts with AI agents.
The examples reflect the operational problem MIND is targeting: data protection must cover both stored information and activity involving people, applications and autonomous software. Its platform spans SaaS, generative AI, agentic AI, endpoints, on-premises file shares and email rather than focusing on a single channel.
The Capital Will Fund Expansion, Not a New Product Line
MIND is directing the Series B toward scaling a product it already sells rather than announcing a separate security category. The company says it will expand its enterprise presence, add technology and channel relationships, and build the team needed to support a growing customer base.
MIND also says it has 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 reports that it became the first data security company accepted into Anthropic’s Cyber Verification Program and the first to earn ISO/IEC 42001 certification for responsible AI.
The funding gives MIND more room to prove that autonomous DLP can reduce the labor and alert volume associated with traditional systems. Its immediate test is whether enterprises will trust software agents to classify data, judge risk and take action without creating new blind spots.