With the adoption of digital banking, there has been a significant rise in the number of services through digital applications. Now mobile applications enable users to scan checks, submit loan applications, buy investments, etc. There are some companies that provide the best mechanization testing services.

Not only that, with embedded ATMs such applications have become even more sophisticated. With all these attractive features, the complexity of financial applications has grown, so also has the need and complexity of testing these financial apps. 

There are a number of factors that push for the automated testing of financial applications. Automation is more used for performance testing while functional testing is kept for manual testing. But considering automated functional testing for banking applications can reap rich benefits. 

Automated testing supports the trend of Agile development. Hence, most financial institutions push for automated testing to reduce test costs over time and improve their capability of continuous delivery. 

As banks and financial institutions plan to overhaul their systems with new technology, they also run on a deadline to release their products into the market. It is a proven fact that without good test data management, the application quality is often reduced with defects being revealed only in production. 

Being heavily dependant on legacy mainframe systems, banks face challenges with data testing, profiling, data masking, and sub-setting. It is here that the datamaker tool helps by creating synthetic data. 

IBM AppScan is an automated tool for security testing, which scans the application prior to deployment. It helps to identify security vulnerabilities, generate reports and fix recommendations. Another such automated tool for security testing of banking applications is HPE WebInspect.