At the core of the Vigil service is our fraud management platform. This platform is powered by Feedzai – a provider of leading-edge fraud detection used by major banks, payment businesses and retailers globally.
The platform leverages advanced artificial intelligence and machine learning technology, combined with big data, to accelerate the detection of emerging fraud trends which can help to protect businesses from fraud loses.
Agile models ensure the platform proactively keeps pace with fraud as it evolves, scoring transactions at scale without compromising on the response time required to spot and stop high-risk transactions.
Cuscal will have access to the latest data science modules to continually evaluate the effectiveness of the platform’s fraud models – building, testing and deploying new models to strengthen fraud rules and reduce the number of false positive alerts.
Harnessing the power of big data, our platform can turn big data inputs into the insights required to reduce risk and combat fraud.
Instantly ingesting available event signals from multiple sources – including transactional data, online sessions, customer data, device data and third-party data – the platform generates a 360 degree view of the customer’s normal patterns of behaviour which helps to identify fraudulent transactions.
Transactional and event data, paired with sophisticated machine learning algorithms, allow us to create a profile of individual customer behaviour to reach new levels of sensitivity and detect fraud with greater power and accuracy.
Profiling behaviour on an individual level helps the platform to maintain very low false positive ratios, allowing your customers to transact in a frictionless manner.
Our platform has the ability to process large amounts of data, enabling fraud analysts and operations teams to respond quickly and feed information into the platform to retrain modelling to respond to changes in fraud trends or new events.
By adapting to this human intelligence through automated feedback loops our platform can apply this knowledge to future transactions without the need for manual coding, so we can remain adaptive rather than reactive to stay ahead of coordinated attacks and emerging fraud trends.