Behavioral Clustering to Map Cloud Identities
🔍 This Unit 42 report describes a behavioral clustering model that maps functional cloud identities by extracting activity patterns from audit logs. The authors analyzed over 40,000 identities across 125 cloud environments to identify roles such as administrators, DevOps, backup services and security tooling. Using unsupervised techniques like UMAP and HDBSCAN, the model generates a behavioral map that aids scalable detection and SQ L-based heuristics for continuous visibility. The methodology is demonstrated on AWS CloudTrail and is extensible to other cloud and SaaS environments.
