Stop sensitive data leaks in real-time while in motion or in use

MIND™ developed autonomous, context-aware and risk-based assessments to prevent loss of your most valuable information in real-time, rather than the manual and static compliance policies of conventional data loss prevention (DLP) tools, in order to put your DLP and Insider Risk Management (IRM) programs on autopilot by being your AI data security analyst.

Lack of precision and context leads to ineffective DLP

Nobody likes DLP tools that needlessly interrupt productive work and inhibit performance on endpoints, while failing to stop sensitive data leaks that matter.

Unfortunately, that’s the reality today with conventional DLP products, blocking normal business activities, creating false positives and slowing down machines - upsetting your executives and users. These challenges all result in ineffective DLP programs that don’t come close to achieving their promise.

Block data leaks on endpoints automatically in real-time

MIND can autonomously block the loss of highly sensitive data in motion and in use on Windows, Mac and Linux endpoints through our native lightweight agents and browser extensions. They intercept user activities and seamlessly evaluate them for risky behaviors in real-time.

When an issue is detected, MIND AI data security analyst with a human in the loop can automatically or manually prevent data leaks based on your organization’s policies.

Block with an option to override

For activities with less risk severity, MIND can deliver speed bumps to coach users on organizational policies, blocking the initial activities but allowing the users to proceed. Your security team will still be informed of these issues for awareness and can take remediation actions if needed.

Take actions specific to your policies

MIND gives your security team a progressive set of remediation options when an issue is detected from block activity to deliver a speed bump and coach users, monitor or allow. The choice is yours to automate these skills or inspect the issues and take recommended remediation actions.

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