Cybersecurity Funding

MIND Secures $72 Million for AI-Powered DLP

The company will use the funding to accelerate platform development and expand its presence in key enterprise markets.

Funding

Data loss prevention (DLP) startup MIND has announced raising $72 million in a Series B funding round that brings the total raised by the company to $112 million.

The investment round was led by Crosspoint Capital Partners, with additional support from previous investors YL Ventures and Paladin Capital Group.

Based in Seattle, MIND emerged from stealth mode in 2024 with an AI-native DLP platform built to protect customer data through smart automations.

MIND provides real-time detection and blocks data exfiltration attempts across the entire enterprise environment, including email, endpoint, gen-AI, and SaaS deployments.

The platform relies on multi-layer classification to identify content and context, and its AI agents take over the DLP process, investigating events, tuning policies, and addressing issues.

MIND plans to use the fresh investment to accelerate platform development, expand into key enterprise markets, deepen partnerships, and scale its team.

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“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,” said MIND co-founder and CEO Eran Barak.

“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,” Barak added.

Related: Comp AI Raises $34 Million for AI-Native Compliance and Security

Related: AIUC Raises $40 Million to Certify Enterprise AI Agents

Related: Hackuity Raises $19 Million for AI-Powered Vulnerability Management

Related: Exein Secures $270M at $1.7B Valuation for Physical AI Security

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