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Unmasking Cloud Identities: From Behavioral Clustering to Automated Detection
Researchers developed a behavioral clustering model that analyzes cloud identity audit logs to identify roles and enable threat detection through standard SQL queries. The approach allows continuous monitoring of cloud identities without specialized tools.
Why it matters: Cloud security teams can detect anomalous identity behavior and lateral movement in cloud environments using existing log data and SQL, reducing detection time and infrastructure costs.
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- First seen by Cybersecurity Tracker