MIND Loss Prevention is an autonomous Data Loss Prevention (DLP) solution that uses AI-driven, context-aware, and risk-based assessments to detect and prevent sensitive data leaks in real-time. Unlike conventional DLP tools that rely on static, manual compliance policies, MIND evaluates user activities dynamically to reduce false positives and avoid unnecessary interruptions to productive work. **Endpoint Coverage:** The product operates on Windows, Mac, and Linux endpoints via native lightweight agents and browser extensions. These agents intercept user activities and evaluate them for risky behaviors in real-time as data is in motion or in use. **Response Actions:** When a potential data leak is detected, the platform supports a range of remediation actions: - Automatic blocking of high-risk activities - "Speed bump" prompts that coach users on policy and allow override for lower-risk activities - Monitor or allow actions based on configured policies - Manual review with recommended remediation actions for security teams **AI-Driven Analysis:** MIND functions as an AI data security analyst with a human-in-the-loop model, allowing security teams to automate responses or manually inspect flagged issues. This approach is designed to reduce the operational burden of traditional DLP programs. **Insider Risk Management:** The platform also targets Insider Risk Management (IRM), helping organizations place their DLP and IRM programs on autopilot through autonomous policy enforcement and real-time risk assessment.