A fast-growing digital bank relied on its mobile application for customer onboarding, account access, payments, transfers, account recovery, and card management.<\/p>\n\n\n\n
With customers using a varied mix of Android and iOS devices, the bank needed stronger assurance that its most sensitive authentication journeys would perform consistently across supported devices, operating-system versions, and application states.<\/p>\n\n\n\n
Fingerprint authentication, facial recognition, and one-time passwords secured key customer journeys, including account access, recovery, and sensitive transactions. The bank had automated many of the surrounding mobile workflows with Appium.<\/p>\n\n\n\n
Biometric and OTP validation, however, still depended heavily on manual steps. Device access was limited, authentication behavior varied across operating systems, and OTP-based tests often stopped while testers retrieved and entered verification codes.<\/p>\n\n\n\n
By introducing TestGrid\u2019s Real Device Cloud into its mobile testing<\/a> process, the bank expanded authentication coverage across Android and iOS, reduced regression time, and automated more OTP journeys from beginning to end.<\/p>\n\n\n\n The bank needed to validate authentication workflows across a growing range of Android and iOS devices. But its QA team faced several constraints:<\/p>\n\n\n\n The bank used emulators and simulators<\/a> during development. This approach worked for early functional testing. However, it didn\u2019t provide enough coverage for authentication journeys that depended on real device and operating-system behavior.<\/p>\n\n\n\n Biometric and OTP workflows would get affected by system authentication prompts, application and messaging permissions, device keyboards, application switching, session state, and manufacturer-specific interfaces.<\/p>\n\n\n\n The bank needed broader access to real iOS and Android devices, greater parallel testing capacity, and a practical way to extend its existing Appium automation.<\/p>\n\n\n\n The bank introduced TestGrid\u2019s Real Device Cloud<\/a> to expand authentication testing across selected Android and iOS devices.<\/p>\n\n\n\n Its QA team created a priority device matrix based on customer usage, operating-system adoption, authentication risk, and manufacturer coverage, then configured its existing Appium suites to run through TestGrid.<\/p>\n\n\n\n The implementation covered:<\/p>\n\n\n\n Across the first three mobile release cycles, the bank reported:<\/p>\n\n\n\n \u201cThe biggest change was that authentication testing stopped being the part of the release we had to constantly monitor. OTP journeys could continue without someone waiting to retrieve a code, biometric behavior could be checked across a broader real-device matrix, and failures reached engineering with enough context to investigate immediately. We entered UAT with fewer unknowns and far greater confidence in the journeys customers depended on most.\u201d<\/em> \u2014 Head of Mobile Quality Engineering, Digital Bank<\/p>\n\n\n\n Your mobile banking application must handle authentication consistently across devices, operating systems, application states, and customer journeys.<\/p>\n\n\n\n TestGrid gives your QA team access to real Android and iOS devices and supports Appium execution for biometric-state validation, OTP verification, transaction authentication, and related mobile workflows.<\/p>\n\n\n\n You can run authentication tests across multiple device combinations, automate OTP retrieval and entry through custom Appium workflows, and review execution evidence when failures occur.<\/p>\n\n\n\nThe Challenge<\/strong><\/h2>\n\n\n\n
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Why the Existing Approach Fell Short<\/strong><\/h2>\n\n\n\n
The TestGrid Implementation<\/strong><\/h2>\n\n\n\n
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The Results<\/strong><\/h2>\n\n\n\n
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Test Digital Banking Authentication With TestGrid<\/strong><\/h2>\n\n\n\n