Fraud and Security

A new contextual approach is required to improve fraud prevention, detection, and investigation. Market participants have raised challenges with using real-time capabilities which are missing risk and blocking legitimate payments or adding friction, which is impacting the customer experience.  

However, Quantexa can detect suspicious transactions in near-real-time and alert to ensure high-risk transactions can get immediate attention. Quantexa can also augment with existing technology to provide additional context to illuminate high-risk transactions or provide confidence through mitigating factors that the transaction is legitimate and non-fraudulent. 

Detection Packs for fraud deliver higher true positives, lower false positives. For additional coverage, we have knowledge and IP, but we will work with your teams to develop using your own data. 

Even where our clients already have a system in place to provide a single view, we have still provided deduplication rates of up to 20%.  

Our ability to ingest internal and external sources means we have greater breadth and flexibility in the view. 

Our ability to perform automated network (entity-powered graphs) enables you to go beyond the customer view to look at relationships, associations, and hidden connections.  

Our dynamic Entity Resolution enables tailored views for different fraud and value-chain needs so that you aren't constrained to a one-size-fits-all - solution, which is both useful operationally but also from a security control perspective. 

Our analytics and visualization platform enables transparent models to be built in conjunction with your teams and improved operational efficiency in complex triage, etc. 

We are not trying to replace the work your client analytics teams are doing, but to enhance it. We can provide a richer 360 view with networks that they can use as inputs to their models to drive better performance. We have an open architecture which means they can continue to use the tools they are using today (eg., Python, R, TensorFlow). 

The output of Quantexa can be integrated within existing systems – including other fraud solutions or in-house-developed tools. Quantexa can send signals to other tools which can then give users the options to use Quantexa to perform the investigation or look at the network in more detail. 

The network UI does not need to be presented to business users – a simplified view with only the pertinent information can be integrated within existing systems. Quantexa can cater for all levels of investigator within the fraud team to support them in their role and to determine the best course of action.  

In addition, Quantexa has a training academy to enable users to get the most from the tool and learn new ways to help them investigate and achieve better outcomes.