Move beyond false positives to real data security

Tired of drowning in DLP false positives? MIND delivers context-aware, AI-driven protection that stops data leaks, reduces noise and puts your DLP on autopilot.

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False positives remove trust from DLP today

Traditional DLP tools flood security teams with false positives, wasted effort and operational fatigue. Without context or precision, alerts become noise. It’s time for modern solutions that classify data accurately, reduce manual investigation and finally help you trust your DLP.

Don’t let alert fatigue compromise data security and peace of mind.

Too many false positives drain resources and hide real threats

Compliance-focused DLP generates as many alerts as possible

Manual tuning and policy management waste time and talent

Security teams are stuck firefighting, not innovating

Restore trust so your DLP can be on autopilot

Multi-layer classification

MIND uses advanced techniques and proprietary small language models specifically trained for precise data classification, combining existing methods with AI innovation to achieve exceptional accuracy.

Proper data labelling

By integrating with data sources like Microsoft 365 or Google Workspace, MIND applies precise labels to resources, extending the data security you already trust.

Auto-close benign incidents

When an end-user is prompted about activity that breaches data security policy and chooses to step back, MIND logs the benign event and automatically closes it, keeping unnecessary noise out of the alert queue.

Why this matters

False positives remain one of the biggest obstacles security teams face with traditional DLP programs. They want to reduce DLP alert noise and are looking for AI-driven DLP to restore trust in their data security programs. Legacy DLP generates noisy alerts and manual work, preventing teams from protecting what matters most.

MIND changes the game. Our context-aware, risk-based approach goes beyond pattern matching, replacing manual work with intelligent automation. Whether your data lives in SaaS, endpoints, GenAI or on-premises, MIND discovers and classifies sensitive data with unmatched precision, drastically reducing false positives.

Security leaders need modern alternatives to legacy DLP, ones that have machine learning to reduce DLP false positives. MIND’s AI engine analyzes billions of events in real-time and integrates smoothly into diverse environments without long deployments or heavy resource demands.

By cutting alert fatigue and delivering clarity, now you can mind what matters.

MIND helps you:

Cut false positives and alert fatigue

Gain complete visibility into data risks

Free your team from manual investigations

Protect sensitive data across every environment

Empower business innovation without security gaps

Let MIND help you protect what matters most and leave false positives behind.

See MIND in action