Nigerian CommunicationWeek

Prolexic Enhances PLXportal with Real-Time Views of DDoS, Network Activity

Stuart Scholly, president at Prolexic

Prolexic, the global leader in Distributed Denial of Service (DDoS) protection services, has said that it has introduced a number of enhancements to PLXportal, its customer gateway.

These include an expanded user dashboard, additional real-time views of network activity, new views of global DDoS threat intelligence, and optimization for viewing on tablets, smartphones and other mobile devices.

PLXportal is a secure online resource that gives Prolexic customers a real-time view of what is happening on their network and Prolexic’s DDoS mitigation network before, during, and after a denial of service attack. Prolexic customers can also access real-time and near real-time DDoS intelligence and alerts provided by the Prolexic

Security Engineering and Response Team (PLXsert). There is also a robust set of account management tools, including a secure wizard to upload SSL encryption keys to Prolexic for encrypted Layer 7 DDoS attack mitigation.

“This latest iteration of PLXportal provides our customers with the broadest and deepest attack forensics and network data in the industry that is updated in real-time, which is unprecedented,” said Stuart Scholly, president at Prolexic.

“Because of this unique level of visibility, we can work more efficiently with our clients to detect and mitigate DDoS attacks faster.”

Using PXLportal, customers can quickly gain a big picture view of network activity and anomalies that may indicate DDoS, as well as drill down to view hundreds of metrics.

This latest version provides a more holistic view of network health and access to a broader range of alert types from multiple monitoring points.

Prolexic customers can use PLXportal’s new attack timeline analytics to improve their preparedness for future DDoS incidents.

After an attack has been mitigated, Prolexic customers can analyze and view the individual events as they occurred to understand the scale of the DDoS attack and network impact. For example, data can be used to analyze attack vectors and identify network vulnerabilities.

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