Unlock stock picks and a broker-level newsfeed that powers Wall Street.
NETSCOUT Continues to Innovate Its Arbor DDoS Protection With AI/ML to Reduce Cybersecurity and Business Risks

In This Article:

AI/ML Powered Intelligence Feed and Adaptive DDoS Mitigation Essential for Defeating Rapidly Evolving DDoS Attacks

WESTFORD, Mass., February 25, 2025--(BUSINESS WIRE)--NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of performance management, cybersecurity, and DDoS attack protection solutions, today announced it enhanced its Arbor® Threat Mitigation System (TMS) Adaptive DDoS Protection solution with additional AI/ML functionality to better detect and block malicious traffic.

Distributed Denial of Service (DDoS) attacks targeting critical IT infrastructure and services have increased by 55% over the last four years. A perfect storm of AI-driven automation, evolving DDoS-for-hire services, augmented IoT botnets, and geopolitical conflicts have changed the threat landscape with more frequent, sophisticated attacks having the potential to do more damage more rapidly. To combat these attacks, organizations, enterprises and service providers require AI/ML-enabled solutions that can continually adapt to threats, using proactive, intelligence-driven security strategies to protect their networks.

"With AI-driven attacks, ransomware, and nation-state threats impacting corporate governance, financial performance, and customer trust, corporate boards expect their IT teams to be proactive in adapting to emerging threats like DDoS," said Chris Steffen, Vice President of Research – Information Security, Enterprise Management Associates. "Implementing solutions that can adapt to threats helps minimize that risk."

NETSCOUT utilizes a hybrid AI/ML strategy that combines AI/ML running at scale in the cloud, with supervision, to analyze data collected from an unprecedented 550 Tbps of Internet traffic (almost half of all Internet traffic), along with AI/ML running in our software solutions to enable automated protection from these attacks. This provides a ‘best of both worlds’ approach – the computational scale of the cloud allows for large-scale analysis of threat data with supervision to ensure accuracy while AI/ML running in our software solutions enables them to leverage that pre-analyzed intelligence to make fast, accurate, automated decisions about what to detect and block.

The company’s cloud-based AI/ML drives the creation of the ATLAS Intelligence Feed, which delivers unique capabilities in its Adaptive DDoS Protection solutions, arming them with the latest DDoS attack intelligence. The continuous analysis, which is updated multiple times per day, provides insight into the source IP addresses of devices actively conducting DDoS attacks on the internet, novel attack vectors, DDoS attack targets, and other intelligence. This enables Adaptive DDoS Protection to quickly and accurately detect even small direct-path attacks from sampled flow data and send the traffic to TMS for automated blocking.