Remediate data security issues before they become incidents

Remediation shouldn't be slow or stressful. With MIND, you can detect, prioritize and resolve data security issues automatically without complexity.

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The cost of broken remediation processes

Traditional DLP struggles to identify and remediate data exposure risks fast enough. Security teams constantly react to sensitive files shared improperly—externally or with anyone via link. Investigating each incident and manually fixing access wastes time, creates alert fatigue and drains resources better spent elsewhere.

Without an automated process, the manual steps to remediate exposures limit data security.

Sensitive data shared too broadly creates exposure risk and compliance gaps

Manual fixes delay response time and increase the risk of human error

Teams burn out chasing false positives and repetitive access reviews

Manual processes can’t keep up with the volume or urgency of today’s data

Streamlined remediation without the stress

Risk-based response

Focus on the riskiest data exposures first to ensure alignment with your security policies, reduce uncertainty and protect what matters most across your environment.

Classification accuracy

AI-driven classification identifies hidden risks in seemingly harmless files shared externally, ensuring sensitive data stays protected, preventing leaks and aligning actions with your security policies.

Adjust permissions

Context reveals which files can be shared externally, with trusted partners or kept private, empowering fast permission changes to safeguard sensitive data and reduce risk.

Why this matters

Today’s security leaders are searching for ways to streamline data remediation. Why? Because traditional DLP tools generate too many false positives, rely on manual workflows and fail to prevent data leaks in real-time.

The stakes are high. Unclassified data, unprioritized alerts and unresolved risks cost time, trust and revenue.

Organizations face alert fatigue, a lack of visibility and outdated remediation workflows. Security teams waste hours chasing irrelevant data leak alerts instead of preventing actual risks. That's why companies today must have ways to automate data leak response, reduce false positives in DLP and employ real-time data remediation.

MIND is the context-aware, AI-powered solution for modern DLP and insider threat response. It brings clarity to chaos by automatically identifying and classifying risky data, then triggering smart, prioritized actions, all at machine speed. Whether your challenge is sensitive data in GenAI tools, SaaS apps or endpoints, MIND ensures data security doesn’t hold you back.

MIND helps you:

Streamline data remediation workflows

Automatically remediate sensitive data exposure

Prioritize data remediation based on risk

Reduce false positives in DLP

Prevent data leaks in real-time

Remediate smarter. Mind what matters.

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