n todays organizations, single sign-on access alone is not sufficient to control access to resources and applications. Additional measures have to be implemented to provide fine grain access control. Although OAM has the capability to group users based on attributes and policies can be applied to the groups, OAM lacks in providing fine grain access control. Also, fraud detection and prevention is not provided by OAM.

Amerindia’s solution to address fraud detection and prevention includes the addition of customized integration of Oracle Adaptive Access Manager with Oracle Access Manager. Both the products together provide enterprise class risk based solution. Role of Amerindia includes end-to-end deployment of the solution along with real-time fraud prevention. The following are the goals of Amerindias’ solution:

• Improved Compliance
• Security with Agility
• Consistent policies

Oracle Adaptive Access Manager dynamically identifies high risk situations in part by learning what normal behavior is for users, devices, locations (IP addresses, city/state/country,etc) and entities (credit card, address, etc). Oracle Adaptive Access Manager evaluates an individual’s behavior against their own history and the history of all other individuals. This“auto-learning” is constantly being updated in real-time so changes in behavior are captured and ready for use in risk evaluations. As a result Oracle Adaptive Access Manager provides superior protection for businesses and their customers through strong yet easy-to-deploy multifactor authentication and proactive, real-time fraud prevention.