Leaders are coming to terms with the idea that being able to see, understand, and have reliable records of what users are doing with their corporate assets can provide valuable insights when trying to reduce cybersecurity risks within their organizations. Learn what machine learning and user behavior analytics can do for your cybersecurity strategy in this whitepaper.
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How to Predict Human Risk: Prevent Insider Threats
Predict and Prevent Human Risk Before It Becomes a Threat Insider risks account for a growing percentage of security incidents and are more challenging to detect without the right tools. With Veriato Cerebral Insider Risk Management (IRM), organizations can: Gain...
5 Ways User Activity Monitoring (UAM) Can Strengthen Your Business Operations
Many organizations overlook the full potential of User Activity Monitoring (UAM)—a tool that extends far beyond IT oversight. When leveraged strategically, UAM enhances productivity, streamlines compliance, supports workplace investigations, ensures visibility in...
From Reactive to Proactive: Why AI-Powered IRM is a Must-Have for Compliance Teams
Compliance professionals are navigating a complex landscape where traditional methods of monitoring access and data are no longer sufficient to address growing insider risks. As organizations’ digital footprint expands, so does the potential for unauthorized or...
