Demystifying XDR: How Curated Detections Filter Out the Noise

Demystifying XDR: How Curated Detections Filter Out the Noise

Extended detection and response (XDR) is, by nature, a forward-looking technology. By adding automation to human insight, XDR rethinks and redefines the work that has been traditionally ascribed to security information and event management (SIEM) and other well-defined, widely used tools within security teams. For now, XDR can work alongside SIEM — but eventually, it may replace SIEM, once some of XDR's still-nascent use cases are fully realized.

But what about the pain points that security operations center (SOC) analysts already know so well and feel so acutely? How can XDR help alleviate those headaches right now and make analysts' lives easier today?

Fighting false positives with XDR

One of the major pain points that Sam Adams, Rapid7's VP for Detection and Response, brought to light in his recent conversation with Forrester Analyst Allie Mellen, is one that any SOC analyst is sure to know all too well: false positives. Not only does this create noise in the system, Sam pointed out, but it also generates unnecessary work and other downstream effects from the effort needed to untangle the web of confusion. To add to the frustration, you might have missed real alerts and precious opportunities to fight legitimate threats while you were spending time, energy, and money chasing down a false positive.

If, as Sam insisted, every alert is a burden, the burdens your team is bearing better be the ones that matter.

Allie offered a potential model for efficiency in the face of a noisy system: demystifying curated detections filter noise