Study by Gartner observes Vectra for Network Detection and Response (NDR)

The 2022 Gartner Market Guide for Network Detection and Response report, published in December, shows that security and risk management leaders should prioritise NDR as a complement to other detection tools, focusing on low false positive rates and detection of anomalies that other controls don’t cover. Vectra was recognized in the report for Vectra Threat Detection and Response Platform.

As stated in the paper, “After a successful assault, organisations rely on NDR to identify and interrupt behaviour, such as lateral network traffic, threats from within the network, and ransomware. Building heuristic models of typical network behaviour and identifying anomalies, NDR is a complement to existing technologies that generally base warnings on rules and signatures.” The research also says that because NDR focuses on low false alarm rates and anomaly detection that other solutions do not cover, security and risk management leaders “should prioritise NDR as a supplement to existing detection tools.”

Taj El-khayat, Managing Director – South EMEA at Vectra said “We believe that Vectra s recognition in the Gartner Market Guide confirms our position as a trusted partner offering proven solutions for network detection and response.”

He added “To stem the tide of threats, security teams need full visibility into their environments so they can detect signs of an attack before it becomes a breach. With the right configuration, NDR can provide effective protection against ransomware.”

Here are some of the main findings of the report

• According to the latest Gartner security forecast, “The network detection and response (NDR) market continue to grow steadily at 22.5%, per the latest Gartner security forecast, despite increased competition from other platforms.”
• As early adopters enter a renewal phase, incident response and orchestration workflows gain more weight during the evaluation.
• A handful of NDR vendors capture most of the attention in the market. Organizations with specialized detection use cases would benefit from mixing known vendors with emerging local players in their shortlists.