Hyderabad universities find new AI model to help detect SAP fraud

HYDERABAD: Researchers have developed a hybrid deep-learning model to detect suspicious transactions, unauthorised access and unusual system changes in enterprise software such as SAP S/4HANA.

The study by researchers associated with Osmania University (OU) and Jawaharlal Nehru Technological University, Hyderabad (JNTU-H), proposes a framework combining three deep-learning techniques to identify unusual financial postings, configuration changes, authorisation failures and violations of established workflows. Unlike conventional monitoring systems that rely on predefined rules and thresholds, the model analyses relationships between business processes and transaction patterns over time.