Datadog's new clustering feature, Attacker Clustering, is designed to identify and group attacker behaviors during distributed attacks. By capturing and analyzing subtle patterns in malicious activity, it empowers organizations to uncover complex threats and respond with precision. The clustering algorithm analyzes patterns from attributes such as user agents or Datadog Attacker fingerprints, enabling accurate detection of stealthy threats while filtering out normal traffic. This approach provides a holistic view of attacker strategies, helping security teams quickly identify and respond to coordinated attacks by tracking evolving attacker strategies, streamlining incident response, and providing clear and actionable insights that enable targeted blocking strategies.