Abstract: An identity management system is augmented to provide for automated suspension of all dormant accounts before launching a re-certification campaign (pass). In one implementation, prior to receiving a recertification notice from the system, the affected user's account is already suspended and thus cannot be accessed. Once the recertification succeeds, however, the account is restored. Preferably, the technique is exposed to an IAM system administrator through a simple interface, e.g., a one-click “suspend and re-certify” button in an administrative menu. When the administrator initiates the re-certification process, he or she may select the button for a particular account or user.

Abstract: An identity and access management IAM system is augmented to provide for supervised, iterative machine learning (ML), preferably with a user-generated training set for classification. The training set may include various types of data, including characteristics or attributes of the account types, the users, or the like. A goal of the initial ML training, which may include one or multiple passes, is to enable the machine to identify specific characteristics or attributes that provide a good classification result, with the resulting classifications then applied within the IAM system. In particular, the output of the ML system may be used by the IAM system for enforcing rights associated with the identified accounts, managing accounts, and so forth.

Abstract: An identity management system is augmented to provide for automated suspension of all dormant accounts before launching a re-certification campaign (pass). In one implementation, prior to receiving a recertification notice from the system, the affected user's account is already suspended and thus cannot be accessed. Once the recertification succeeds, however, the account is restored. Preferably, the technique is exposed to an IAM system administrator through a simple interface, e.g., a one-click “suspend and re-certify” button in an administrative menu. When the administrator initiates the re-certification process, he or she may select the button for a particular account or user.

Abstract: An identity management system is augmented to provide for automated suspension of all dormant accounts before launching a re-certification campaign (pass). In one implementation, prior to receiving a recertification notice from the system, the affected user's account is already suspended and thus cannot be accessed. Once the recertification succeeds, however, the account is restored. Preferably, the technique is exposed to an IAM system administrator through a simple interface, e.g., a one-click “suspend and re-certify” button in an administrative menu. When the administrator initiates the re-certification process, he or she may select the button for a particular account or user.

Abstract: An identity management system is augmented to provide a methodology to generate an objective measure of administrative effectiveness with respect to account certification. In the approach, erroneous account information is intentionally inserted into a recertification campaign. The erroneous account information is tracked through the recertification process and used as a measurement to evaluate whether a particular manager/administrator whose accounts are impacted is successful in recognizing the erroneous account information (e.g., as a percentage of erroneous account records located). The dummy information is tracked and used to generate a quantitative measure of the effectiveness of a particular recertification campaign or a particular manager who is responsible for recertifying accounts. The results can also be used to drive other enterprise metrics and compliance systems.

Abstract: An identity and access management IAM system is augmented to provide for supervised, iterative machine learning (ML), preferably with a user-generated training set for classification. The training set may include various types of data, including characteristics or attributes of the account types, the users, or the like. A goal of the initial ML training, which may include one or multiple passes, is to enable the machine to identify specific characteristics or attributes that provide a good classification result, with the resulting classifications then applied within the IAM system. In particular, the output of the ML system may be used by the IAM system for enforcing rights associated with the identified accounts, managing accounts, and so forth.

Abstract: A method for assessing security risks associated with a cloud application to which one or more connected applications are coupled begins by configuring a security risk assessment application to function as a connected application. The security risk assessment application collects “first” data associated with one or more accounts, and “second” data associated with the one or more connected applications coupled to the cloud application. After receiving the first and second data, the security risk assessment application instantiates that data into a generic “data object” that the system uses to represent each account and each of the connected applications. Each such data object thus is populated either with the first data or the second data, depending on whether the data object represents an account or a connected application. A risk assessment is then applied to the generic data object to assess a security risk associated with the cloud application.

Abstract: An identity management system is augmented to provide for automated suspension of all dormant accounts before launching a re-certification campaign (pass). In one implementation, prior to receiving a recertification notice from the system, the affected user's account is already suspended and thus cannot be accessed. Once the recertification succeeds, however, the account is restored. Preferably, the technique is exposed to an IAM system administrator through a simple interface, e.g., a one-click “suspend and re-certify” button in an administrative menu. When the administrator initiates the re-certification process, he or she may select the button for a particular account or user.

Abstract: An identity management system is augmented to provide a methodology to generate an objective measure of administrative effectiveness with respect to account certification. In the approach, erroneous account information is intentionally inserted into a recertification campaign. The erroneous account information is tracked through the recertification process and used as a measurement to evaluate whether a particular manager/administrator whose accounts are impacted is successful in recognizing the erroneous account information (e.g., as a percentage of erroneous account records located). The dummy information is tracked and used to generate a quantitative measure of the effectiveness of a particular recertification campaign or a particular manager who is responsible for recertifying accounts. The results can also be used to drive other enterprise metrics and compliance systems.

Abstract: An approach is provided to selectively incorporate traveler feedback into a trip planning database. In the approach, a planned trip segment is retrieved with the planned trip segment including a planned start time, a planned start location, a planned mode of transportation, a planned destination location, and a predicted end time. Subsequently, actual trip segment data items are received. A validation routine checks whether the planned trip segment was actually traveled by comparing the retrieved planning trip segment with the actual trip segment data items. If the trip is successfully validated, then the trip planning database is updated using feedback received from the user. However, if validation was unsuccessful, then the trip planning database not updated with the user's travel feedback.