Security News > 2020 > February > How Machine Learning Can Strengthen Insider Threat Detection

As companies continue to grapple with the challenges of insider threats, machine learning coupled with behavioral analytics can assist in predicting and detecting potential threats from employees and contractors, according to a panel of security experts at RSA 2020.

To mitigate insider threats, experts suggest that enterprises develop their own risk algorithms by coupling machine learning capabilities with behavioral analytics to understand discrepancies in employee activities.

The insider threat problem cannot be solved by IT or security teams alone, Pepper said.

According a study published this month by the Ponemon Institute, insider threat incidents increased by 47 percent between 2018 and 2019.

The study also points out that insider threats are more likely to be caused by negligent employees or contractors, rather those intending to do harm.

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https://www.inforisktoday.com/how-machine-learning-strengthen-insider-threat-detection-a-13790