Palo Alto Networks Unit 42 details new cloud identity detection method
Palo Alto Networks' Unit 42 has developed a behavioral clustering model for mapping functional roles of over 40,000 cloud identities across 125 environments. The system uses unsupervised machine learning to extract activity patterns from audit logs, aiming to classify identities such as administrators and backup services more accurately. The method allows organizations to better detect threats, circumventing misleading naming conventions and access policies.
- Model clusters identities using cloud audit logs
- Covers over 40,000 identities across 125 environments
- Focuses on roles often obscured by naming or IAM policies
- Relies on unsupervised machine learning algorithms
- Applicable to various cloud providers beyond AWS
Sources covering this
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