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."