Real-Time Fraud Detection
As our digital presence grows more interconnected and exploitable, fraud remains a significant business challenge. Hazelcast offers real-time fraud detection solutions that instantly identify fraud to prevent financial losses.
Fraud detection is especially critical for financial transactions, but can also be valuable in preventing other types of illegitimate activities that cause bigger problems downstream, like identity theft. Example use cases for fraud detection include:
- Credit card payments, including both in-person and online purchases
- Instant/online payments via web and mobile apps
- Anti-money laundering
- Rogue stock trading that can manipulate stock markets
- Identity theft
- Online account registration
- Insurance claims
Futureproofing Your Architecture for Payments Fraud Detection
In this webinar, we discuss the challenge of contending with new emerging, sophisticated fraudulent activities and how the use of machine learning (ML) has emerged as a key strategy to reduce the rate of prediction errors.
Real-Time Payment Processing and Fraud Detection for the Mobile Age
As payments are increasingly executed using mobile devices, the infrastructure is changing. As always, a multitude of banking channels, financial services providers, payment processors, and payment networks are jockeying for position in a highly competitive ecosystem.
This paper discusses the challenges that payment processors face today, along with examples of how leading businesses solve these challenges.