Cybersecurity Startup MIND Gets $30M to Automate Enterprise Data Protection

During a time, where a single data breach can cost companies nearly $5 million and expose millions of personal records, a seven-month-old startup has emerged from the shadows with a bold promise: to put data protection on autopilot using artificial intelligence.

MIND, a data loss prevention company that only recently shed its stealth cloak, announced today it has secured $30 million in Series A funding, a remarkable achievement that brings its total funding to over $40 million and signals a seismic shift in how enterprises think about protecting their most sensitive information.

The Perfect Storm

Last year alone, data breaches affected over 1.7 billion individuals globally, with the average incident costing organizations $4.88 million, a 10% jump from the previous year and the highest cost ever recorded. Meanwhile, the rise of large language models and AI tools has created a paradox. While these technologies make data more accessible and useful than ever, they’ve also opened new pathways for sensitive information to slip through corporate defenses.

“Organizations are drowning in unstructured data, and legacy tools simply can’t keep up,” explains Eran Barak, MIND’s co-founder and CEO. “Traditional data loss prevention systems are like trying to catch water with a net, they’re manual, they generate countless false alarms, and they lack the context to understand what’s actually dangerous.”

The problem has been compounded by a series of high-profile insider threats, from North Korean IT workers infiltrating companies to manipulated employees causing breaches at major firms like Coinbase. In today’s climate of corporate layoffs and economic uncertainty, insider risk has moved from a back-burner concern to a boardroom priority.

The AI-Native Solution

What sets MIND apart in the crowded cybersecurity landscape is its approach: rather than retrofitting AI onto existing systems, the company built its platform from the ground up with artificial intelligence at its core. Their multi-layer classification engine, dubbed MIND AI, promises to discover and classify sensitive data automatically while reducing false positives to nearly zero.

“We’re not just improving data loss prevention—we’re fundamentally transforming it,” says Justin Somaini, partner at YL Ventures, who led MIND’s seed round and participated in the Series A. “This is about putting entire security programs on autopilot, allowing them to find, fix, and stop data leaks at machine speed.”

The platform combines two traditionally separate functions data security posture management and data loss prevention into a unified system that can make real-time decisions about whether user behavior represents normal business activity or a genuine threat requiring intervention.

Rapid Ascent

MIND’s trajectory has been nothing short of meteoric. In just seven months since emerging from stealth, the company has achieved 500% customer growth and gained significant traction among Fortune 1000 companies. Its endpoint agents now protect sensitive data across hundreds of thousands of devices, and the company recently earned recognition as one of the top 10 finalists and the only DLP startup in the prestigious RSAC Innovation Sandbox contest.

This rapid success caught the attention of some of cybersecurity’s most experienced investors. The Series A round was led by Paladin Capital Group and Crosspoint Capital Partners, with participation from Okta Ventures and existing investor YL Ventures.

“AI is transforming how enterprises access and leverage data but also how they lose it,” notes Gibb Witham, Senior Vice President at Paladin Capital Group. “MIND has built an AI-native solution designed for this new era, and under Eran’s leadership having previously built some of the most successful machine learning-driven cybersecurity companies of the past decade—they’ve quickly established themselves as the market leader.”

Industry Validation

Perhaps most telling is the endorsement from Greg Clark, Managing Partner at Crosspoint Capital Partners and former CEO of Symantec, which once dominated the data loss prevention market. “As someone who led the market for CASB and DLP, it’s clear that today’s existing tools need to evolve in this new AI era,” Clark observed. “Enterprises need a modern and unified approach to DLP, and MIND is delivering a much-needed solution.”

Looking Ahead

With the new funding, MIND plans to double both its research and development team and its go-to-market organization by year’s end. The company’s mission extends beyond just preventing data breaches, it aims to help organizations “thrive in the AI era” by enabling secure innovation without sacrificing protection.

As Barak puts it: “Our rapid growth reflects a clear market shift toward smarter, faster, and fully automated approaches to data loss prevention and insider risk. This funding validates both our product and the market demand.”

In a world where data has become both an organization’s greatest asset and its most vulnerable point of failure, MIND’s AI-powered approach may represent the evolution that enterprise security has been waiting for. The question isn’t whether traditional data protection methods need to change, it’s whether they can adapt fast enough to keep pace with the threats of tomorrow.

For enterprises grappling with the dual challenge of harnessing AI’s potential while protecting against its risks, MIND’s emergence as a leader in next-generation data loss prevention couldn’t come at a more crucial time.