Insider Threat Detection
Get ahead of insider risk across IT, OT, identity, and AI environments. AMazeTM creates synthetic, mirrored assets and access paths that produce a clear, high-fidelity signal the moment a trusted identity goes off course.
Insider risk is difficult because the activity often starts from a trusted account, approved device, or valid access path. The signal can look legitimate until damage is already underway.
Organizations need ways to identify misuse without treating every employee action as suspicious. The best signals come from interactions that normal users should never have a reason to make.
MirrorMire draws that boundary cleanly. Our Synthetic Cognitive Agents and Neural Echoes mirror real files, credentials, and systems, so if anyone touches one, defenders investigate with confirmed context instead of guesswork.
How AMazeTM Clarifies Insider Risk
AMazeTM helps teams detect privilege misuse, data staging, and unusual internal exploration earlier, with zero-false-positive signals from synthetic, mirrored assets.
Mirrored Data Touchpoints
Place synthetic files, records, and repositories near sensitive workflows to reveal suspicious access patterns.
Privilege Misuse Signals
Expose abnormal interactions with admin paths, service accounts, and sensitive systems without disrupting legitimate work.
Low-Noise Investigations
Give analysts focused evidence around who interacted, what they touched, and why the action deserves attention.
Detect Insider Risk Sooner
See how proactive, high-fidelity signals can clarify suspicious behavior inside your environment.
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