Fraudsters shall not pass. Ecommpay introduces innovative graph analysis

Ecommpay, a leading international payments service provider and UK and European card acquirer, has implemented innovative graph analysis to strengthen its proprietary Risk Control Management System (RCMS). With this graph model, Ecommpay analyses fraud patterns and blocks not only one, but multiple fraudulent activities in a chain. This update also enables the RCMS to identify patterns of fraudulent behaviour even when criminal entities are not active at that moment.

Last year alone, £4bn was lost to fraud in the UK, up from £2.4bn in 2021. To tackle the growing issue of online payment fraud, the technology can now detect unusual, interprocess connections, prompting an analysis of the connection. If fraudulent activity is found, chains are blocked and when fraudsters attempt fraudulent actions again, the graph model once again neutralises the threat. This process is repeated until the scammer has exhausted all its efforts and ceases all intrusions.

Most payment providers outsource their fraud protection capabilities, however Ecommpay’s proprietary system allows the anti-fraud controls to be tailored to each client’s needs particularly those operating in the e-commerce, travel, and FinTech sector. With this flexibility, businesses can adjust the antifraud filters accordingly to maintain a high level of customer conversion and achieve maximum revenue.

The graph analysis adds another layer of protection to the already sophisticated fraud solution, which combines an automated monitoring feature with manual analysis. This approach ensures a 97% fraud detection and prevention rate without interfering with customer interactions. The system also employs machine learning for enhanced detection, as well as a whitelist and blacklist database functionality. Uniquely, Ecommpay also provides a dedicated personal anti-fraud manager, who uses modern approaches to data visualisation and link analysis to add human insight to powerful machine capabilities.

In the context of payments, ‘tokenization’ refers to the method of converting sensitive card information, such as a primary account number (PAN), into a unique identifier or token, which is then used in place of the actual card details during the transaction process.