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Machine Learning Prevents Privilege Attacks at the Endpoint

May 24, 2019

To address ongoing privilege account risk posed by evolving threat tactics, this session will introduce the CyberArk Application Risk Analysis service and suggest that through machine learning and cloud-based analytics, its possible to stop attackers from gaining a foothold on endpoints. By detecting potentially malicious applications, timely, well-informed privilege and application control policy decisions can be made.

During this session we’ll demonstrate: The ability to detect and control unknown applications from installing and running using file-based machine learning algorithms to new threat detection capabilities that provide a risk framelet via a dashboard to indicate the amount of accounts that are potentially exposed to credential theft.

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