NETSCOUT SYSTEMS, INC. has unveiled its latest version of Arbor Edge Defense (AED) with new ML-based Adaptive DDoS Protection. The aim is to address the growing threat of dynamic DDoS attacks that utilize multiple vectors and techniques to evade traditional network and cloud-based defenses. With these attacks becoming more sophisticated, enterprises need to deploy effective DDoS solutions to protect their network edge, internet-facing services, and critical infrastructure.
The latest version of AED combines machine learning (ML) software intelligence with global threat intelligence to automatically detect, adapt to, and mitigate dynamic DDoS attacks. Scott Iekel-Johnson, AVP, DDoS and Threat Intelligence at NETSCOUT, emphasized the importance of outsmarting cyber attackers through effective network edge protection. He added that AED’s Adaptive DDoS Protection provides enterprises with an always-on solution backed by decades of mitigation experience, global real-time visibility, and ML capabilities.
AED acts as an automated defense mechanism deployed at the internet edge, screening incoming and outgoing traffic using stateless packet processing, global DDoS threat intelligence, and ML algorithms. It blocks inbound cyber threats, including DDoS attacks, and reduces the load on firewalls, load balancers, and VPN concentrators. AED also prevents the proliferation of malware within organizations and blocks outbound communications from compromised internal devices to prevent data breaches. It integrates with cloud DDoS protection providers for large volumetric attacks.
NETSCOUT’s ASERT team works with over 500 Internet Service Providers (ISPs) to maintain the ATLAS sensor network. The team analyzes the data received from the network to provide real-time DDoS attack insights to AED via the ATLAS Intelligence Feed (AIF). This feed arms AED with curated intelligence, constantly updating the IP addresses of bots and reflectors/amplifiers involved in DDoS attacks worldwide.
The release of AED’s latest version is a significant step toward enhancing enterprise security against dynamic DDoS attacks. By leveraging machine learning and global threat intelligence, NETSCOUT aims to provide robust protection to enterprises, enabling them to safeguard their critical infrastructure from evolving cyber threats.
Frequently Asked Questions (FAQs) Related to the Above News
What is Arbor Edge Defense (AED)?
Arbor Edge Defense (AED) is an automated defense mechanism deployed at the internet edge that screens incoming and outgoing traffic using stateless packet processing, global DDoS threat intelligence, and machine learning algorithms.
Why is it important to protect against dynamic DDoS attacks?
Dynamic DDoS attacks have become more sophisticated, utilizing multiple vectors and techniques to evade traditional network and cloud-based defenses. Enterprises need effective DDoS solutions to safeguard their network edge, internet-facing services, and critical infrastructure.
How does AED address the threat of dynamic DDoS attacks?
AED combines machine learning software intelligence with global threat intelligence to automatically detect, adapt to, and mitigate dynamic DDoS attacks. It provides enterprises with an always-on solution that leverages decades of mitigation experience, real-time visibility, and machine learning capabilities.
What are the benefits of using AED for DDoS protection?
AED blocks inbound cyber threats, including DDoS attacks, and reduces the load on firewalls, load balancers, and VPN concentrators. It also prevents the proliferation of malware within organizations and blocks outbound communications from compromised internal devices to prevent data breaches. It integrates with cloud DDoS protection providers for large volumetric attacks.
How does AED leverage machine learning and global threat intelligence?
AED integrates machine learning algorithms and global threat intelligence provided by NETSCOUT's ASERT team. The team works with over 500 Internet Service Providers (ISPs) to maintain the ATLAS sensor network and provides real-time DDoS attack insights to AED via the ATLAS Intelligence Feed (AIF). This curated intelligence constantly updates the IP addresses of bots and reflectors/amplifiers involved in DDoS attacks worldwide.
How does AED contribute to enterprise security?
By combining machine learning and global threat intelligence, AED enhances enterprise security against dynamic DDoS attacks. It provides robust protection, enabling enterprises to safeguard their critical infrastructure from evolving cyber threats.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
