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

Insider Risk – How Prepared Are You?

Insider Risk – How Prepared Are You?

New Model Shows Four Stages of Insider Risk Maturity Organizations of every size, and from every industry contend with risks such as disgruntled employees, poorly protected data or assets, and unsecured IT networks. Without the proper insights and processes to spot...

Reducing Employee Turnover With Workforce Behavior Analytics

Reducing Employee Turnover With Workforce Behavior Analytics

How workforce behavior analytics help companies reduce turnover, spot issues sooner and create a safer exit process. While the working world has changed, companies can take a proactive approach to forge new connections with employees and get ahead of potential reasons...