Insider Data Risk Management
Predict risk before insiders become incidents.Matters doesn’t wait for DLP rules to fail. It detects and responds to suspicious data movement in real time using behavioral analysis and content awareness.
Why it MattersMatters uses a predictive behavior model that continuously learns how users interact with sensitive data. Instead of relying on static rules, it flags abnormal behavior based on intent, giving you early signals of misuse, compromise, or negligence across employees, contractors, and privileged accounts.
You can’t secure what you can’t see. 83% of organizations faced insider attacks in 2024. Insider risk isn’t just a threat. It’s a blind spot. Matters gives you the visibility to detect intent, not just incidents.
You can’t secure what you can’t see. 83% of organizations faced insider attacks in 2024. Insider risk isn’t just a threat. It’s a blind spot. Matters gives you the visibility to detect intent, not just incidents.
ADVANCED DETECTION
Too Many Access Points. Too Little Visibility. Insider Risks Thrive in the Gaps.It’s scattered across SaaS apps, cloud platforms, endpoints, and internal tools, accessed by employees, contractors, vendors, and even AI agents. This sprawl makes it nearly impossible to track who is doing what with sensitive information.
Misuse doesn’t happen in one placeAn engineer copies production data into a spreadsheet.
A vendor shares a drive folder without clearance.
A junior analyst exports files to a personal device.
These actions don’t usually trigger alarms, not because they’re harmless, but because traditional tools weren’t built to see across all these environments, let alone connect the dots.
A vendor shares a drive folder without clearance.
A junior analyst exports files to a personal device.
These actions don’t usually trigger alarms, not because they’re harmless, but because traditional tools weren’t built to see across all these environments, let alone connect the dots.
Access Isn’t Static, and Intent Isn’t Always ClearPeople take on new roles. Vendors get temporary access. AI agents interact with systems in ways we’re still learning to monitor. What’s normal for one person might look suspicious for another, and without context, it’s hard to tell the difference.
By the Time It’s Flagged, the Damage Is DoneMost insider threats aren’t discovered until after something has gone wrong.
That’s because older tools generate isolated alerts without deeper insight, leaving security teams piecing together a puzzle after the fact.
That’s because older tools generate isolated alerts without deeper insight, leaving security teams piecing together a puzzle after the fact.
How We Solve Insider Risk Before It SpreadsLet’s say a backend developer with access to GitHub starts cloning private repositories at 11 PM, then uploads files to a personal OneDrive. No red flags are raised because they technically had access. But it’s still an insider threat.
Matters is built to catch this before it turns into a breach.
Here’s how:
Matters is built to catch this before it turns into a breach.
Here’s how:
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Intent is the real threat surface.
Users don’t need to break rules to put data at risk. Don’t just monitor insiders. Understand them.
Matters understands how users behave around data and why their actions may signal risk. Instead of static rules, we surface threats based on patterns, pressure points, and intent.
Matters understands how users behave around data and why their actions may signal risk. Instead of static rules, we surface threats based on patterns, pressure points, and intent.