TLDR: Startup MIND has launched its new AI-native Data Loss Prevention (DLP) platform, designed to automate and simplify data protection for security teams and Managed Security Service Providers (MSSPs). The platform boasts 91% greater accuracy than traditional DLP tools, significantly reducing false positives and alert fatigue by leveraging its proprietary MIND AI engine. It aims to secure sensitive data across all IT environments, including generative AI tools, and has already demonstrated an 80% reduction in DLP management time for early customers.
Seattle-based startup MIND, a two-year-old company, has officially launched its groundbreaking AI-native Data Loss Prevention (DLP) platform, marking a significant advancement in enterprise data security. The general availability of the platform was announced on August 6, 2025, coinciding with its debut at the prestigious Black Hat USA 2025 show.
Designed to address the escalating challenges faced by security teams and Managed Security Service Providers (MSSPs) in an increasingly complex data landscape, MIND’s platform automates the entire lifecycle of data protection. It continuously inventories sensitive data at rest, monitors user behaviors, and tracks activities from agentic AI and non-human entities, effectively eliminating data security blind spots.
At the core of this innovative solution is ‘MIND AI,’ a multi-layer classification engine that transcends traditional regular expression (RegEx) pattern matching. This advanced AI capability enables the platform to categorize sensitive file types with unprecedented precision, leading to a claimed 91% greater accuracy compared to legacy DLP tools. This enhanced accuracy directly translates into a drastic reduction in false positives and alert fatigue, a common pain point for cybersecurity professionals.
Early adopters of MIND’s platform have reported substantial improvements in their security operations. Customers have witnessed an 80% drop in DLP management time and a remarkable 95% reduction in false positives, with critical data risks uncovered and sensitive data exfiltration blocked within hours of deployment. Yaron Blachman, Chief Information Security Officer at OpenWeb, lauded the platform, stating, “We’re saving a lot of time not looking at irrelevant data and false positives, probably a fifth of past DLP programs.” Alessio Faiella, Director of Security Engineering & Security Operations at ThoughtSpot, echoed this sentiment, remarking, “MIND is the best DLP tool I’ve seen…by a lot. They could never add another feature and they’d still be the best.”
The platform offers out-of-the-box templates for creating business-aligned policies, automated responses, and guided workflows, simplifying threat response through integration with existing remediation platforms. It provides comprehensive security for data at rest and protection for data in motion, preventing leaks across diverse IT environments, including generative AI tools, SaaS applications, endpoints, and email. Context-aware controls are built-in to ensure users can adhere to security policies without disruption.
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MIND’s commitment to innovation and effectiveness has garnered significant industry recognition in 2025. The company was named one of Fortune’s Top 50 Cybersecurity Companies of 2025 and received an Honorable Mention in the Black Hat USA 2025 Startup Spotlight Competition. Co-Founder and CEO Eran Barak has previously highlighted the company’s mission, stating, “As billions of records get leaked every year, we recognize it as one of the major pain points for companies and a problem lacking a comprehensive and simplified data security solution for the era of AI.” This new platform directly addresses that critical need, positioning MIND as a key player in the evolving landscape of AI-powered cybersecurity.
