MIND is a data security company specializing in data loss prevention (DLP) for modern enterprise environments. The company develops an AI-powered data security platform that integrates data discovery, classification, detection, prevention, and remediation into a unified solution. The MIND platform employs a multi-layer AI classification engine to identify sensitive data across diverse environments, including SaaS applications, generative AI tools, on-premises file shares, endpoints, and email. Unlike traditional DLP tools that rely on static policies and regular expression (RegEx) pattern matching, MIND uses contextual, risk-based analysis to reduce false positives and prioritize alerts by severity. Key capabilities of the platform include autonomous remediation of data-at-rest issues (covering PII, PHI, PCI, financial data, and credentials), real-time prevention of data-in-motion and data-in-use leaks, and automated policy enforcement without requiring extensive manual configuration. The platform also addresses data security risks introduced by agentic AI and large language models (LLMs), with a dedicated offering called Autonomous DLP for Agentic AI. MIND targets enterprise security teams, particularly those burdened by alert fatigue and fragmented legacy DLP tooling. The company positions its platform as a consolidation of multiple point tools into a single solution manageable without a large security headcount. MIND is headquartered in Seattle, WA, with an additional office in Tel Aviv, Israel. Investors include Paladin Capital Group, Crosspoint Capital Partners, YL Ventures, and Okta Ventures. The company was co-founded by Eran Barak (CEO), Itai Schwarz (CTO), and Hod Bin Noon (VP of R&D).