One of the biggest challenges in cybersecurity today is being able to efficiently identify and respond to crucial security alerts generated by the plethora of tools deployed, and to be able to separate the important alerts from the irrelevant noise. Network sensors create numerous alerts – false positives – that must be analyzed before being deemed low priority. Incident response teams struggle to selectively pick what alert they will address and what they will ignore. Occasionally the decision is the wrong one, resulting in a headline-worthy data breach.

This is where XDR can help. Because they are leveraging advanced detection and prioritization techniques that can be applied across vast amounts of incoming data in real time, XDR platforms can help identify the important incidents that a security analyst must look at immediately. This helps prevent alert fatigue and results in a lower probability that an important cybersecurity incident will be missed or overlooked.