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IDG Contributor Network: Catch insider threats with User Behavior Analytics

Discussion in 'CSO' started by RSS, May 26, 2016.

  1. RSS

    RSS New Member Member

    Securing and protecting confidential data and Intellectual Property (IP) assets has been always a challenge for organizations despite having various tools including data loss prevention (DLP) added to the cybersecurity strategy. According to Ponemon Institute’s 2015 study, most costly cybercrimes are those caused by malicious insiders, followed by denial of services and web-based attacks.

    Mitigation of malicious insiders requires enabling advanced technologies such as User Behavior Analytics - an emerging technology that could provide data protection and fraud detection capabilities that otherwise would go unnoticed. UBA uses a specialized security analytics algorithms that focuses beyond an initial login and includes tracking every movement of user activities in connection with systems that they use to perform their day-to-day operations and roles.

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