Global – November 09, 2026 -- MIND has introduced an autonomous, context-aware data loss prevention (DLP) approach that blocks sensitive data leaks in motion and in use across Windows, Mac and Linux endpoints, replacing the manual, static compliance policies of conventional DLP tools.
MIND targets false positives and slow endpoints in legacy DLP
MIND argues that conventional DLP products block normal business activity, generate false positives and slow down machines, while still failing to stop the leaks that matter. In its view, this undermines executive and user confidence and leaves DLP programs short of their promise.
Native agents and browser extensions intercept risky activity on three operating systems
MIND deploys lightweight native agents and browser extensions on Windows, Mac and Linux. They intercept user activity and evaluate it for risky behavior in real time. When MIND detects an issue, its AI data security analyst, with a human in the loop, can block the leak automatically or manually, based on the organization's policies.
Speed bumps coach users on lower-risk activity instead of blocking it outright
For lower-severity activity, MIND can block the initial action, coach the user on organizational policy and let the user proceed. The security team is still informed and can take remediation steps if needed.
Remediation options run from blocking to delivering a speed bump, monitoring or allowing the activity. Security teams can automate these actions or review each issue and apply recommended steps. MIND says the system puts DLP and Insider Risk Management (IRM) programs on autopilot.