Attacks happen across the customer lifecycle, and every type of transaction is at risk. With more digital payments and accounts for any online application now being made in real-time, fraud attacks are growing in sophistication and prevalence.
Organizations need to stop transaction/payment and application/identity fraud, account takeover and money laundering, before they result in financial and reputational damage.
Only Aerospike is able to process the amount of streaming data combined with system of record data that fraud prevention machine learning algorithms need – without causing undue burden on the end customer, nor the organization’s budgets and staff.
Real-time fraud prevention at its core relies upon fast data processing with machine learning. Organizations should always be looking to minimize their fraud losses. However, they often are unable to combine data silos to populate and conduct meaningful machine learning in real time.
Hear more customer stories on how Aerospike benefitted their fraud prevention.