NETSCOUT SYSTEMS announced significant updates to its Arbor Edge Defense (AED) and Arbor Enterprise Manager (AEM) products as part of its Adaptive DDoS Protection solution. These enhancements are designed to address the growing threats of AI-enabled DDoS attacks, which have surged in sophistication and frequency.
Application-layer and volumetric attacks have increased by 43% and 30%, respectively, with DDoS-for-hire services making attacks easier to execute. To combat these evolving threats, NETSCOUT leverages AI and machine learning (ML) within its ATLAS Threat Intelligence system, which monitors over 550 Tbps of real-time internet traffic across 500 ISPs and 2,000 enterprise sites worldwide.
The AI/ML-powered solution enables dynamic threat identification and mitigation, creating a scalable, proactive defence mechanism. The updated AED and AEM products automate a closed-loop DDoS attack detection and mitigation process, providing real-time protection by adapting to changing attack vectors and applying mitigation recommendations automatically.
NETSCOUT’s solution also offers comprehensive protection across hybrid IT environments, including on-premise infrastructure, private data centres, and public cloud platforms like AWS and Microsoft Azure, with enhancements such as 200 Gbps mitigation capacity, high-performance decryption, and visibility into non-DDoS threats.
By minimising downtime and safeguarding business-critical services, NETSCOUT’s Adaptive DDoS Protection reduces business risks and protects productivity and reputation. As the threat landscape continues to evolve, organisations can rely on NETSCOUT’s innovative technology to stay ahead of attackers and maintain IT resilience. Industry experts and agencies like the Cybersecurity & Infrastructure Security Agency (CISA) highlight the need for adaptive cybersecurity measures. NETSCOUT’s AI/ML-driven solutions meet these demands by offering robust, future-proof protection for critical IT infrastructure.
