Abstract: Techniques are provided that for providing complete solutions for role-based, rules-driven access enforcement, the techniques including active policy enforcement. Techniques address blended risk assessment and security across logical systems, IT applications, databases, physical systems, and operational technology systems in the context of threat and fraud detection, risk analysis and remediation, active policy enforcement and continuous monitoring. Further, techniques provide out of the box workflow rules that give the ability to add, modify, or delete the applicability parameters for policy enforcement.

Abstract: Techniques are provided that produce a risk profile consisting of a risk score and trends of risk scores across entities such as user identities and other objects. For example, an identity is assigned a risk score which is based on baseline factors such as HR attributes, such as training and screening status; access to and conflicts across physical, logical, and operational systems; historical and current usage of these systems, as well as anomalies from normal behavior patterns. Techniques herein encompass the management of a risk profile (“behavior profile”) for each entity, e.g. identity, and maintains a risk score that is correlated with behavior, e.g. an individual's behavior, to track anomalies or irregularities in every day routines of the entity, e.g. individual.

Abstract: Techniques are provided that for providing complete solutions for role-based, rules-driven access enforcement, the techniques including active policy enforcement. Techniques address blended risk assessment and security across logical systems, IT applications, databases, physical systems, and operational technology systems in the context of threat and fraud detection, risk analysis and remediation, active policy enforcement and continuous monitoring. Further, techniques provide out of the box workflow rules that give the ability to add, modify, or delete the applicability parameters for policy enforcement.

Abstract: Techniques are provided that produce a risk profile consisting of a risk score and trends of risk scores across entities such as user identities and other objects. For example, an identity is assigned a risk score which is based on baseline factors such as HR attributes, such as training and screening status; access to and conflicts across physical, logical, and operational systems; historical and current usage of these systems, as well as anomalies from normal behavior patterns. Techniques herein encompass the management of a risk profile (“behavior profile”) for each entity, e.g. identity, and maintains a risk score that is correlated with behavior, e.g. an individual's behavior, to track anomalies or irregularities in every day routines of the entity, e.g. individual.