How to enforce real-time controls based on behavior risk scoring

Applying machine learning models against data sources in real time can differentiate customers and internal users based on behavioral attributes at a very granular level. When this output is used with an orchestration or workflow engine like an identity and access management platform for provisioning/deprovisioning, data loss prevention, cloud access security broker, etc., it can enforce an action such as prevent, allow, limit or monitor access in response to specific behavior patterns.

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