DataVisor, the world’s leading AI-powered fraud and financial crime prevention platform, has officially announced the launch of significant enhancements to its advanced multi-tenancy solution. According to certain reports, these enhancements will make it possible for organizations to configure, as well as customize, fraud prevention and anti-money laundering (AML) strategies before seamlessly deploying them across multiple sub-tenants. Here, you can expect deployment of features, business rules, and machine learning models, that all work in tandem to ensure comprehensive and consistent protection, with flexible data segregation, orchestration, and reporting. As it enables core banking providers, processors, and acquirers to offer advanced fraud and AML tools to their customers, the stated update will also make a point to address unique compliance challenges for sponsor banks, enhancing their risk management through fintech collaborations, better transparency, governance, and risk control. Furthermore, it will allow them and other large financial institutions to leverage the multi-tenancy setup for the purpose of centralizing data and feature computation at the main tenant level. Not just that, the update will also enable individual business units to make decisions independently through sub-tenancy. Talk about the whole value proposition on a slightly deeper level, DataVisor brings at the disposal of customers three distinct options tailored to different levels of data segregation, control, and configurability. In at first, we have the enforcement option, which is designed to provide the main tenant with the highest level of control, thus empowering it to define all data computation, strategies, and reportings for the sub-tenants.
Next up, we have the recommendation option. This one involves centralizing data computation, but at the same time, offering sub-tenants the flexibility to define their own strategies and also build upon those established by the main tenant. Finally, our last touted option comes in the form of an enrichment option. In essence, the enrichment option makes it possible for sub-tenants to be in complete control of their own data computation, development of strategies and reportings. It also allows the same to retrieve consortium risk signals from the main tenant to enrich decision-making.
“The enhanced multi-tenancy capabilities exemplify our dedication to empowering customers in their fight against modern fraud and money laundering activities,” said Caiwei Li, CTO of DataVisor. “Unlike other solutions, we offer a greater variety of advanced technology and flexible options, tailored to meet the specific business needs we’ve identified through customer feedback. These enhanced capabilities are already being rolled out to several of our existing customers, demonstrating its effectiveness and reliability.”
All these options, although slightly different in what they bring to the table, help organizations choose the right level of control and customization that best fits their operational needs. Another detail worth mentioning about them is concerned with how, unlike other multi-tenancy solutions in the market, DataVisor’s options support true data segregation so to ensure complete data isolation and privacy. They also do that to deliver better protection with customizable access controls at the tenant level, data level, and view level. On top of that, the company’s latest brainchild includes advanced data orchestration and reporting functionalities at both the main-tenant and the sub-tenant level. This, in turn, does a lot to enhance visibility and transparency, a critical feature especially in today’s regulatory environment. This eventually facilitates effective compliance policy control and monitoring across different business units and between sponsor banks and fintechs.
Among other details, we must mention that enhanced multi-tenancy from DataVisor is actually built on a cloud-native architecture with total elasticity to scale performance as the number of sub tenants increases. Owing to that, it can support real-time payment use cases with over 15,000 transactions per second (TPS) and 100-200 ms end-to-end processing latency for both the main tenant and the sub-tenants.
