MIND is a data security company founded in 2023 that rebuilds data loss prevention around AI automation instead of the manual, rule-heavy workflows that have long frustrated security teams. The founders — Eran Barak (who previously founded Hexadite, acquired by Microsoft), Itai Schwartz, and Hod Bin Noon — came out of the Israeli Military Intelligence Unit 8200 and early roles at companies like Torq, Axonius, and Dazz. They built MIND to put DLP and insider risk management (IRM) programs on autopilot.
The platform continuously discovers and classifies sensitive, unstructured data wherever it lives: across SaaS applications, endpoints, on-premise systems, and email. A proprietary endpoint agent gives MIND visibility into how data actually moves, so it can detect and respond to incidents in real time and automatically prevent leaks rather than just alerting on them after the fact. A central design goal is minimizing false positives — the chronic problem that causes legacy DLP deployments to drown teams in noise.
MIND is explicitly built for the GenAI era. As employees paste sensitive content into chatbots and connect AI tools to corporate data, the platform monitors and blocks sensitive data from leaking into generative-AI applications, extending data protection to humans, non-human identities, and AI agents alike. This positions MIND at the intersection of classic DLP and emerging AI data-governance needs.
The company emerged from stealth in late 2024 and reported rapid traction, citing 500% customer growth and adoption among Fortune 1000 organizations within roughly seven months. In June 2025 it announced a $30 million Series A led by Paladin Capital Group and Crosspoint Capital Partners, with participation from Okta Ventures and existing investor YL Ventures, bringing total funding above $40 million.
MIND's pitch is that data protection should be autonomous: instead of writing and maintaining endless classification rules, security teams get a platform that finds sensitive data, fixes risky exposures, and stops leaks automatically across the modern enterprise data estate, including the new attack surface created by AI adoption.