In partnership with IBM, Zoreza global’s UmbrellaFraud is reducing the time it takes to score or analyze a transaction. This gives banks the chance to check virtually 100% of their transactions and minimize time/cash wastage.
AI is being implemented to address various use cases, such as credit scoring, fraud and anti-money laundering (AML). However, while most banking and payment transactions are executed on mainframe platforms, AI detection is often off-platform. According to Celent less than 10% of transactions go through an Al inferencing model in real-time due to latency and cost issues.
In addition, traditional fraud models have a high rate of false positives causing poor customer experience. It is estimated that worldwide revenue losses from fraudulent credit card transactions amount to around $298 billion a year.
Scoring 100% of incoming transactions while meeting existing SLAs
Leveraging existing fraud models or implementing custom models
Reducing scoring latency by deploying fraud prevention natively on z/OS alongside the authorization systems
Leveraging the MLz COBOL scoring service to:
Over the past 35 years, UmbrellaFraud application architecture has evolved into a reliable technical platform that delivers a fast integrated development environment (IDE) for z/OS.
UmbrellaFraud is used by more than 40 top-tier global financial institutions, each operating about 100 applications, which translates to thousands across mainframe development. Thanks to its inherent accessibility for new applications, Umbrella stands out as the optimal environment for integrating scoring AI solutions.
Every day, recognized global financial institutions trust their business processing on the UmbrellaFraud System. Their financial applications serve more than 750 million customers holding 900 million accounts, and execute over 1.6 billion transactions.
UmbrellaFraud leverages IBM z16’s dedicated AI Telum chip as an AI accelerator to allow for fast and straightforward deployment of machine learning (ML) models from Hogan or other Z-based applications, reducing latency and facilitating 100% inferencing coverage. Combining ML with Hogan's transaction-processing capabilities offers banks twice the advantage. The Hogan system’s proven transactional integrity and scalability provides a solid foundation for ML models analyzing patterns in real-time.
Successfully implementing UmbrellaFraud isn’t just about the technology; it’s about achieving business goals via a trusted tech-provider partnership. It also relies on the collaboration and guidance Zoreza global provides throughout the journey.
By partnering with banks individually, we can tailor UmbrellaFraud and Hogan to their unique needs, ensuring a seamless fit with their existing infrastructure and future goals.
We act more like a trusted advisor than a simple vendor. Zoreza global and IBM experts guide banks through the complexities of AI implementation, platform selection and system integration, helping them make better-informed decisions.
Zoreza global offers comprehensive assistance from pre-implementation consultation to post-implementation support. We guide clients through each transformational journey.
Solution-centric partnering ensures that banks buy into and derive maximum value from our technology. We focus on delivering results that positively impact our clients’ operational efficiency, agility and competitiveness.
Our latest news and insights
Discover what UmbrellaFraud fraud detection/prevention and on-mainframe inferencing could do for your bank’s profitability and sustainability.
