Keep pace with insider threats to your sensitive data
Protect sensitive data from insider risks with context-aware, AI-driven DLP that stops threats in motion, reduces false positives and restores trust in your security program.
Insider risk hides where legacy tools can’t see
Today’s insiders pose real risk, whether malicious or accidental. Legacy DLP and siloed tools drown teams in false positives, leaving blindspots in SaaS, GenAI and endpoints.
Security leaders need real-time visibility, context and automation to prevent insider threats without overwhelming small teams or sacrificing user trust.
Data exfiltration can happen across cloud, SaaS, email and endpoints
Lack of data context makes it hard to triangulate real risk
Missing content analysis leaves gaps for behavior-based tools
Traditional IRM tools struggle to keep pace with emerging ways to work
Help restore trust in your end users
Why this matters
Insider threats are no longer hypothetical, they’re one of the top data security risks facing enterprises today. Whether driven by malicious insiders, negligent employees or compromised credentials, insider incidents often slip past traditional security tools designed for perimeter defenses. CISOs and security leaders need ways to detect insider threats, reduce false positives and automate responses to stop data exfiltration in real time.
Legacy DLP solutions fail because they lack context, generate noise and demand excessive manual intervention. Security teams burn countless hours investigating alerts only to discover false alarms, while true threats remain undetected. In today’s hybrid work environments, data lives everywhere: SaaS applications, GenAI tools like ChatGPT, cloud file shares, email systems, on-prem file shares and endpoints. The complexity makes it impossible for manual processes to keep up.
Modern security leaders need context-aware DLP with behavioral analytics for insider threats. These tools must reduce false positives, provide real-time insider threat monitoring and automate insider threat remediation. They want solutions that integrate seamlessly with existing environments, classify unstructured data accurately and adapt to new risks, without requiring large teams or endless resources.
MIND delivers modern data loss prevention for today's insider risks. Our platform provides AI-driven classification, context-aware risk detection and real-time prevention to help security teams see insider risks clearly, act decisively and protect data at rest and in motion.
Insider threats are complex, but securing your business doesn’t have to be.
MIND helps you:
Discover and classify sensitive data across SaaS, endpoints and cloud
Detect risky insider behaviors with context, not guesswork
Automate responses and reduce manual investigations
Eliminate alert fatigue with dramatically fewer false positives
Safeguard sensitive data without slowing business or adding headcount
Stop insider threats before they become incidents.
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