Mind What Matters

Legacy DLP has become a source of friction rather than clarity. Teams are left managing noisy alerts, rigid policies and growing blind spots, while sensitive data continues to move without context or control. The result is a program that feels active, but rarely delivers confidence.

MIND offers a different path.

MIND is an intelligent data security platform that puts DLP and insider risk management on autopilot. It continuously understands your data, evaluates risk in context and takes action in real time, so your team can protect what matters without adding complexity or headcount.

Your data isn’t static, and your security program cannot be either. MIND brings clarity to dynamic environments by aligning discovery, detection and prevention into one continuous system of intelligence.

What MIND does

• Disocovery
  MIND continuously discovers and classifies sensitive data across SaaS apps, GenAI tools, endpoints, email and on-prem environments. Its multi-layer AI engine builds a complete, contextual inventory, so you can understand what matters and why it matters.
• Detection
  MIND analyzes billions of events in real time to surface true risk. Context-aware detection reduces noise and prioritizes what requires attention, while automated response ensures issues are addressed with precision and speed.
• Prevention
  MIND protects data at rest, in motion and in use. It applies the right response based on risk, from user guidance to automated prevention, and enables collaboration through tools like Slack and Teams to resolve issues without disruption.

Why organizations choose MIND

• DLP on Autopilot: Run a modern DLP program without the operational burden. MIND automates classification, detection and remediation so your team can focus on outcomes, not maintenance.
• Clarity through context: MIND understands how data is used, not just where it lives. By combining context and risk, it helps you prioritize decisions with confidence.
• Intelligence at work: MIND AI applies hundreds of tailored algorithms to reduce false positives and surface real risk, shifting your program from reactive to intentional.
• Seamless, unified coverage: One platform, one system of awareness, across SaaS, GenAI, endpoints and hybrid environments.

Evidence of resonance

Security teams often feel the weight of DLP without seeing the return. We’ve seen that tension firsthand. What they’ve found with MIND is a shift from effort to clarity.

• Organizations reduced DLP workload by up to 80%, allowing their teams to move away from manual triage and toward meaningful risk reduction. Instead of chasing alerts, they focused on what actually mattered.
• Running a full-scale DLP program without expanding the team. What typically required three to four additional hires was handled through automation and context-aware intelligence, creating space for the team to operate with confidence rather than constraint.
• Sharp reduction in false positives, in some cases to near zero. This isn’t just efficiency, it’s trust. When alerts carry meaning, decisions become faster and more precise.
• Deployments that once took months now deliver insight within hours, giving teams immediate visibility into how sensitive data moves across their environment.

The pattern is consistent. Less noise, less manual effort, more awareness. A DLP program that feels manageable, measurable and aligned to real risk.