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Enabling RPKI For A Safer Internet
With RPKI enabled, Nexusguard ensures configuration mistakes and abuse by bad actors are eliminated, and BGP sessions for our customers and peers are fully validated.
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Smart Mode: DDoS Attack Detection Using Machine Learning
The advances in artificial intelligence (AI) in recent years has given rise to the application of Machine Learning models to enhance DDoS attack detection. Nexusguard’s Smart Mode detection uses Machine Learning techniques to predict whether network traffic coming from a source is legitimate or part of a malicious DDoS attack.
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The Best Of Both Worlds: On-Premise And In The Cloud
To safeguard their businesses from the growing diversity of DDoS attacks, organizations have begun leveraging the combination of on-site appliances for detection with cloud-based mitigation to create an interworking hybrid solution. The collaboration between Fortinet’s FortiDDoS mitigation appliances for detection with Nexusguard’s cloud-based DDoS protection service provides a unified hybrid solution to address this need.
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Reaping The Benefits Of DDoS Incident Handling Automation
Nexusguard’s Cloud Diversion App provides the complete set of tools you need to facilitate the automation of your incident handling workflows, expedite time-to-mitigation and optimize your overall security strategies. Our app is easy to implement and use, allowing you to leverage the capabilities of your existing security infrastructure.
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How to detect and mitigate Bit-and-piece DDoS attack
You may be concerned about the impact posed by “Bit-and-Piece Attacks”, a tactic targeting ASN-level CSP networks and able to bypass traditional detection. It can give a great challenge to the legacy detection and mitigation of traditional telcos and ISPs.
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Communications Service Providers (CSPs) Are Being Brought To Their Knees By “Bit-And-Piece” Attacks That Fly Under The Radar
CSPs are suffering from an extremely stealthy network-layer attack − the “bit-and-piece” attack that we identified as earlier as in 2018, which was later dubbed as carpet bombing by some others. Designed to bypass traditional threshold-based detection, this attack is posing a new security challenge for CSPs, which can cause massive service degradation for its network and its customers and there’s nothing their on-premise investments can do to help.
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