ai teams up with leading international payment processor, in strategic alliance that will combine machine-learning and human analysis to take the fight to US fraud
September 7, 2017: - The ai Corporation (ai), an FCA approved expert in fraud and risk management, today announced that it will be partnering with Quatrro, a leading fraud detection and prevention services provider, as part of its continued global expansion and to satisfy the increasing demand for its unique fraud and risk management solutions in the USA.
The partnership will link robust real-time fraud detection and prevention expertise, with highly reliable behavioural analytics and dynamic rule management to combat fraud threats, maximize revenue and attain competitive advantage for its users.
The ai Corporation’s partnership with Quatrro will strengthen the business’s presence in the USA. Enabling financial institutions of all sizes to adopt The ai Corporation’s unique machine-learning technology and its rules engine RiskNet®, in conjunction with Quatrro’s best of breed payment processing and analytics capabilities.
Nick Walker, The ai Corporation’s Regional Director for the USA, explains: “Our partnership with Quatrro is a significant step forward for ai. Expanding on our existing business in the Americas and providing a full-service solution for the banking community to mitigate risk or fraud across any channel. Between The ai Corporation and Quatrro, we will be providing the technology and the human skills for analytic and review purposes. So, it is a true example of man and machine in the fight against fraud.”
Mr Raman Roy, Chairman and Managing Director at Quatrro says, "Quatrro has been at the forefront in providing best-in-breed payments and transaction processing services to Banks in the United States for more than 10 years. Through our partnership with The ai Corporation, we will be able to introduce its innovative artificial intelligence and machine learning models to more financial institutions.”
Dr Mark Goldspink, CEO of The ai Corporation, says: “Modern fraudsters have evolved their ability to detect vulnerabilities in systems and are shifting their targets to those weak links. They are using new tactics too – distributed networks, big data and the dark web to locate vulnerabilities and maximise the associated risk. Fraudsters are also devising multidimensional tactics that inflict damage by sequentially compromising more than one point of vulnerability.
“A.I., more specifically machine learning, can help organisations combat fraud in ways that just weren’t previously possible. It is an exciting time for businesses, with disruptive opportunities in virtually every market sector. Our ‘best of breed’ payment solutions are designed to takes the fight to fraudsters, irrespective of the channel, while helping our clients grow profitably. Between Quatrro and ourselves, our team of experts cover the full spectrum of risk management and business analytics across the globe.”
The ai Corporation has existing partnerships in the US with a number of leading acquirers, issuers and processors.
ai’s SmartSuite of machine-learning technology gives banks the opportunity to simply write their own rule sets into any fraud platform, including ai’s rules engine RiskNet®. By using machine-learning, banks can automate their fraud prevention, mitigating ACH fraud regardless of how it is perpetrated including account takeover, ‘man in the middle’ fraud and/or social engineering.
SmartScore®, one of six products within ai’s SmartSuite, creates neural models using artificial intelligence and automated machine-learning techniques, to recognise patterns and trends in fraud. Providing transaction risk scores to be used in conjunction with user-defined rules and parameter-mapping.
With its unique multi model capabilities, SmartScore® enables users to create Neural Models specific to a fraud type, customer segment or payment method, including ACH. By constantly refreshing the data available, SmartScore® provides an up to date and accurate risk score based on current trends, ensuring that RiskNet® or any third-party fraud platform users are not reviewing unnecessary alerts.