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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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...
Insider Risk Management Guide: How to Predict the Human Risk and Prevent Insider Threats
Employees, contractors, outsourced vendors, and suppliers create a complex ecosystem at the core of every business. Insider risk is growing rapidly—it’s a known issue, and companies are now looking beyond the control. It’s time to move beyond just reactively managing...
2024 Insider Risk Preparedness Checklist
Odds are that your organization will experience at least one threat in 2024, if not more than one. IBM estimates that a single threat costs an organization an average of $4.35 million, not to mention the work to contain and clean up, and the potential damage to the...
