Insider threats are among the most difficult attacks to detect. Traditional security tools often miss subtle shifts in user behavior, relying instead on static rules or known patterns that insiders can easily bypass. Without continuous monitoring and contextual awareness, organizations remain exposed to data theft, fraud, and operational disruption originating from within their own networks.
MixMode’s dynamical threat detection platform continuously monitors and analyzes user activity to identify suspicious or anomalous behavior in real time. By autonomously learning contextually what is expected in each environment. MixMode detects deviations that signal potential insider threats—without dependence on signatures or preconfigured rules. This proactive approach enables rapid detection, investigation, and response, helping organizations minimize risk and protect against threats from within.
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