mSIGNIA vs. RiskNet vs. IBM Safer Payments

mSIGNIA presents an all-encompassing payment testing solution tailored for product developers eager to perfect their prototypes, for sales teams wishing to highlight their offerings, and for payment service providers needing to verify their compatibility with external solutions. As a key player in the testing and software tool arena, mSIGNIA caters to the entire spectrum of online payment systems, collaborating with a diverse group that includes EMV 3DS product developers, merchants, payment service providers, acquirers, payment networks, issuers, delegated authenticators, FIDO partners, and risk assessment engines. Our mission is to empower you to improve and expand your payment services through our customizable and readily available payment solutions. It's crucial to understand that mSIGNIA does not partake in payment processing; our emphasis lies solely on providing testing and tools for those operating within the payment industry. With the rapid changes occurring in the payment landscape, businesses necessitate additional support, manpower, and investment to effectively enhance their services. We deliver comprehensive end-to-end testing services specifically designed for developers, service providers, and their customers, ensuring you have access to state-of-the-art testing solutions and tools at a price point that frequently undercuts the cost of in-house development, thereby optimizing your operations and bolstering your competitive edge in the market. This commitment to innovation and efficiency positions mSIGNIA as a vital partner in navigating the complexities of modern payment systems.

The aiRiskNet® platform operates as a self-service rules engine for real-time and near real-time detection and prevention of payment fraud and suspicious activities, catering to card issuers, acquirers, payment service providers (PSPs), and merchants around the world. This adaptable solution can be implemented as either licensed software on-premises or through a cloud-based service on Azure. Engineered to protect the entire payment ecosystem, aiRiskNet® features a modular design with three main configurations that can operate independently or be seamlessly integrated into a broader enterprise solution. Notably, aiRiskNet® Acquirer is dedicated to managing risks associated with merchants and identifying fraud across various payment channels, such as point-of-sale (POS) and ATM transactions. On the other hand, aiRiskNet® Issuer specializes in fraud detection for financial entities and card issuers, covering all types of card payments, including credit, debit, pre-paid, private label, and e-wallets, while also addressing other payment mechanisms like cheques, ACH, and wire transfers. This flexibility allows users to combat fraud effectively, aligning the solution with their individual operational requirements. Additionally, the platform provides ongoing updates and enhancements to adapt to the ever-evolving landscape of payment fraud.

IBM Safer Payments enables organizations to create personalized and user-friendly decision models that facilitate rapid responses to emerging threats while improving fraud detection accuracy and speed, without the reliance on external vendors or data scientists. This innovative solution significantly accelerates the modeling optimization process by providing essential analytics and simulation tools that support continual monitoring of business performance and adjustments to changing fraud patterns. Clients benefit from remarkable detection rates and a reduction in false positives upon integrating this system into their workflows. Users have the capability to build, assess, validate, and deploy machine-learning models within days rather than months, thereby eliminating vendor dependency. The platform is capable of handling thousands of transactions per second, delivering an enterprise-level solution with an impressive 99.999% uptime and outstanding throughput. Its open architecture allows for seamless importation of detection models, model components, and proprietary insights, all while offering a comprehensive interface for the development of new models. Furthermore, it accommodates a diverse array of data science, machine learning, and artificial intelligence techniques, making it an adaptable resource for any organization seeking to bolster their payment security. The inherent flexibility of this platform ensures that businesses can proactively address potential fraud threats more efficiently than ever, ultimately leading to a more secure financial environment. As organizations continue to evolve, the ability to swiftly adapt to new security challenges becomes increasingly critical.