International Business Machines Corporation

Leigh Doddy

Christopher John Hockings

Philip A J Nye

Dinesh Tejmal Jain

Trevor Scott Norvill

Scott M Andrews

Timothy J Ashton

A policy enforcement point includes fraud prevention information associated with devices and/or users which is collected from: (i) many cloud fraud services located in the cloud; and/or (ii) authorization processing of users and/or devices. The policy enforcement point is consulted when a user/device undergoes authorization processing for a transaction with an application (for example, an application that serves protected content such as financial records, email, etc.). Fraud prevention information is added to session data, associated with the attempted authorization to the application, for the user/device as the user/device proceeds its attempted authorization to the application. In some cases, the authorization to the application may be refused based on the data added to the session data by the policy enforcement point or the policy enforcement point will propagate fraud prevention information to the application to make the decision.

Propagating fraud awareness to hosted applications

Risk-based credential management is provided. A request to checkout credentials is received. The credentials are associated with at least one managed resource. A risk value of the request is determined. The determination of the risk value is based, at least in part, on risk information of the requesting device. A determination is made whether to deny the request based, at least in part, on the risk value and a first predetermined threshold of a checkout policy.

Risk-based credential management

A system and method for protecting a user from offensive behavior in communications and notifying the user and/or an enforcement entity of the offensive behavior. The offensive content analysis system monitors communications between users for offensive behavior. The offensive content analysis system may measure the level of current offense in the communication and determine a historical offensive behavior pattern for the user. The offensive content analysis system may then determine if the offensive behavior, both current and historical, rises to a threshold behavior level. The offensive content analysis system may take notification action if the offensive behavior meets the threshold level.

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Sunbury, Australia

Leigh Doddy