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Insider threats drive data protection improvements

Published by Imperva

Imperva’s AI-driven solutions integrate machine learning to enhance cybersecurity by identifying and responding to insider threats through advanced behavioral analytics. Leveraging AI for anomaly detection, Imperva’s systems monitor user activity and identify patterns that signal potential risks. Automation minimizes false positives, ensuring that security teams can focus on critical threats without being overwhelmed by alerts. This AI-driven approach not only improves detection accuracy but also accelerates incident response, optimizing both resource allocation and operational efficiency

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Related Categories Cybersecurity, Threat detection, Intrusion prevention, Security Analytics, Data encryption, Identity management, Risk Assessment, Cyber threat intelligence, Network security, Endpoint protection, Healthcare

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