Insider threats—whether malicious, careless, or compromised—pose serious risks because they originate from users with legitimate access to sensitive data. These threats often go undetected by traditional security tools. Imperva’s machine learning-powered solution, CounterBreach, monitors how users interact with data to establish a behavioral baseline. When deviations occur—like excessive file access, failed logins, or misuse of service accounts—the system flags them as potential breaches. With domain-specific algorithms, Imperva can detect subtle insider threats in real time, enabling faster investigation and stronger data protection without overwhelming security teams.

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