CyberArk Privileged Threat Analytics 2.0 announced for privileged accounts

CyberArk has announced CyberArk Privileged Threat Analytics 2.0, a system for privileged account security intelligence. The expanded analytics includes new self-learning, behaviour-based algorithms, enabling customers to detect attacks faster by pinpointing malicious privi-leged account activity previously hidden in the sheer volume of information collected by big data analytics solutions, the company claimed.

CyberArk Privileged Threat Analytics 2.0 collects and analyses privileged account activity data, including pulling feeds from security information and event management (SIEM) sys-tems to identify the most serious of risks.
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“Privileged account security needs to be at the top of the agenda for organisations to defend against the rise in advanced attacks,” said Pete Lindstrom, research director, IDC. “With the ability to understand and react to real-time activity that solution like CyberArk Privileged Threat Analytics deliver, organisations have an opportunity to identify these high-risk incur-sions and address them before they lead to weeks or months of leaks and losses.”

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Out-of-the-box integration of data feeds from SIEM solutions such as HP ArcSight ESM and Splunk Enterprise provides context to the information CyberArk Privileged Threat Analytics collects. This enables customers to pinpoint privileged-based threats amongst the wealth of data their SIEM collects. New forensics capabilities deliver more visibility and insight into privileged account behaviours.