Sap Se

Sap Ag

Sarma Adithe Venkata Ram

Neha Garg

Madhu Gourineni

Sudhir Verma

Jani Mahammad

Sumit Kumar

Ayushi Singla

Systems, methods, and computer media are described for user risk assessment using similarity analysis. Records of transactions performed by a user while in previous enhanced application access sessions can be evaluated against records of transactions performed by other users in previous sessions. The more similar a user is to other users, the more likely it is the user was acting in a typical manner, and the less likely the user poses a security risk. A similarity analysis can be performed using a bipartite graph linking a group of users and a group of application transactions. By examining an edge between a user and a performed transaction, other edges (and corresponding other users) can be identified that also performed the transaction. A similarity score can be calculated based on the bipartite graph and can be used to determine a risk classification and allow or deny an enhanced application access session request.

Securing applications through similarity-based risk assessment

In one embodiment the present invention includes a computer-implemented method of reducing a quantity of business application programming interface (BAPI) calls in a hardware client-server environment. The method includes configuring a centralized provisioning system on a hardware server with access definitions for systems. The method further includes receiving, by the centralized provisioning system, a provisioning request for a user of a client to access the systems. The method further includes determining a collected BAPI call according to the access definitions. The method further includes providing access to the user according to the collected BAPI call.

System and method of consolidated central user administrative provisioning

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Sunnyvale, CA, United States of America

Sarma Adithe Venkata Ram