Insider Risk

Threat Hunting and the Rise of Predictive Threat Detection

In the past, threat detection was based on delayed and reactive notifications associated with rudimentary alerting processes: A system failed, a database of your customer information was found for sale on the dark web, an employee admits to wrongdoing, and more.

Addressing these threats was a completely reactive process. The latest study by the Ponemon Institute on behalf of IBM found that the average time required to identify a data breach is 197 days. Clearly this isn’t acceptable and trans-formative security approaches need to be employed. Today, we have systems generating vast amounts of information on systems and users that can now be used in combination with artificial intelligence to predict what threats are potentially coming.

These technological advancements within the cyber security space are driving a critical shift from antiquated and reactive threat detection to modern predictive threat detection.

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Employee Monitoring Resources

3 Steps to Spotting Insider Risk

3 Steps to Spotting Insider Risk

Your employees have access to your organization’s most valuable data – customer detail, intellectual property, personally identifiable information (PII), vendors lists, bank accounts, financials, and more. When an employee no longer has the organization’s best...