What Happened

Mind Security Inc. announced a $72 million Series B funding round on September 17, 2026, led by Crosspoint Capital Partners with participation from returning investors YL Ventures and Paladin Capital Group. The round brings the company's total funding to $112 million since launching in October 2024 with an $11 million seed from YL Ventures, followed by a $30 million Series A in June 2025.

The company provides AI-native data loss prevention (DLP) software that locates sensitive files across SaaS applications, endpoints, and email, then classifies them by content and context. Controls sit on top of that inventory — risky activity can be blocked outright, or the user receives a prompt explaining which policy the action would violate.

In July 2026, Mind released AI DLP Agents that build custom classifiers, draft policies, and investigate incidents. Analysts can direct these agents in plain language through a Model Context Protocol interface, automating significant portions of DLP program management that were previously manual.

CEO Eran Barak described the business as having eight-figure revenue and dozens of customers, with revenue reportedly growing more than 17-fold over the past year and customer count increasing eightfold. The software now runs across hundreds of thousands of endpoints. Named customers include Children's Hospital Los Angeles (protecting PHI from AI tools on staff devices) and the National Geographic Society (labeling sensitive documents and restricting public sharing).

Mind also holds credentials rare among data security vendors: in May 2026, it became the first DLP company accepted into Anthropic PBC's Cyber Verification Program, which lifts default limits on dual-use security work for vetted firms. It also holds ISO/IEC 42001 certification for AI management systems.

Why It Matters

The DLP market is large, established, and — until recently — largely stagnant. Traditional products were built for predictable, human-paced workflows: an employee emails a spreadsheet, copies files to a USB drive, or uploads something to a personal cloud account. That assumption collapses when AI agents begin reading, transforming, and sharing company data autonomously, often with nobody in the loop.

Mind's own research, published this year, found that 65% of enterprises lack confidence in the controls they have over the data feeding their AI systems. That's not a hypothetical concern — it's a live procurement blocker. Enterprise security teams deploying AI agents that touch proprietary data, customer PII, or regulated information are discovering that their existing DLP stack simply wasn't designed for autonomous, machine-speed data flows.

The funding signals that investors see a rebuild of the DLP category around AI-specific data governance. Crosspoint Capital Partners — which led both the Series A and Series B — is doubling down on a thesis that legacy DLP vendors won't move fast enough to capture this shift, creating room for a purpose-built challenger.

Who Is Affected

Enterprise IT and security teams in regulated industries — healthcare, financial services, government — are the most immediate audience. Children's Hospital Los Angeles is already using Mind to keep protected health information out of AI tools running on staff devices, a use case that will become standard as clinical AI adoption accelerates.

AI startup founders building agents that process enterprise data should pay attention: buyers are actively evaluating data governance before procurement, and a clear DLP integration story could shorten enterprise sales cycles. Channel partners and MSPs should also note that Mind is explicitly using this funding to expand through channel partnerships into large enterprise accounts.

Strategic Implications

For AI startup founders: If your product touches enterprise data, expect security teams to ask about DLP integration before signing contracts. Having a clear data governance story — or a partnership with a vendor like Mind — could be the difference between a closed deal and a stalled pilot. The fact that Mind holds Anthropic's Cyber Verification Program credential suggests that AI safety certifications are becoming a competitive differentiator in enterprise sales.

For developers/operators building with AI APIs: Legacy DLP tools likely won't catch sensitive data flowing through AI agent pipelines. The autonomous nature of agent behavior — reading, transforming, and sharing data without human initiation — creates data exfiltration paths that traditional rule-based systems weren't designed to monitor. Evaluate whether your current controls account for agent-initiated data access, and consider whether tools like Mind's AI DLP Agents (which use plain-language MCP interfaces) could integrate into your existing security operations.

For non-technical business owners evaluating AI tools: Before deploying AI agents that access company files or customer data, ask vendors how they prevent sensitive information from leaking through agent workflows. If they can't answer clearly, this is a category worth budgeting for separately — not a feature you can assume is handled by your existing security stack.

What to Watch Next

Monitor whether Mind's channel partnership expansion strategy accelerates enterprise adoption in Q4 2026, and whether legacy DLP vendors (Symantec, Forcepoint, Microsoft Purview) respond with AI-specific feature releases. Also watch for additional AI security vendors entering Anthropic's Cyber Verification Program — that credential could become a procurement requirement for enterprises deploying AI agents at scale.

Frequently Asked Questions

Q: What does Mind Security's DLP platform do differently from traditional DLP tools?

A: Mind's platform is built specifically for AI-era data flows where autonomous agents read, transform, and share company data without human initiation. Traditional DLP products were designed for human-paced workflows like emailing files or copying to USB drives. Mind also uses AI agents to automate DLP program management — building classifiers, drafting policies, and investigating incidents — directed by analysts in plain language.

Q: How much funding has Mind Security raised and who are the investors?

A: Mind Security has raised $112 million total: $11 million seed from YL Ventures (October 2024), $30 million Series A led by Paladin Capital Group and Crosspoint Capital Partners (June 2025), and $72 million Series B led by Crosspoint Capital Partners with participation from YL Ventures and Paladin (September 2026).