Automate the work out of Mobile KYC and EDD in Android & iOS apps.
Use 300+ mobile fraud detection features to determine account anomalies.
Monitor and gather data when threats arise in your mobile apps.
Support Enhanced Due Diligence with KYC verification in mobile apps.
Keep track and report on account and transaction anomalies in real time.
Save time and money on mobile Anti-Fraud Defenses. Appdome provides mobile brands, cyber and engineering teams, a single platform for continuous collaboration and control over mobile anti-fraud defenses in Android & iOS apps.
Appdome uses Machine Learning to build any or all of 300+ threat-aware mobile anti-fraud features, incl. detecting overlay attacks, key logging, Fake GPS, spyware, fake inputs, Frida, ADB abuse, auto-clickers, biometric bypass and more, into Android & iOS apps in the CI/CD pipeline so the mobile development team doesn't have to. Enjoy autonomous, no code, no SDK, dynamic, agile mobile anti-fraud for all Android & iOS apps.
Build-by-build, mobile brands can control, audit and orchestrate the release of Mobile Anti-Fraud features into Android & iOS apps. Create, save, version, freeze and release mobile app defense feature sets into Android & iOS apps on-demand. Each build is Certified Secure™ with the needed Mobile Anti-Fraud and other defenses to guarantee continuous compliance with cyber, anti-fraud and other policies with ease.
Appdome's ThreatScope™ Extended Detection & Response (XDR) for mobile apps allows mobile brands to see all attacks and threats that impact the mobile app, brand and business. Prove the ROI of existing defenses deployed inside mobile apps. With one-click, instantly respond to each attack, adding new defenses to Android & iOS apps in the DevOps CI/CD pipeline.
Appdome's Threat-Events™ is the only solution that gives mobile brands the data, framework, and control to create amazing user experiences with attacks happen in Android & iOS apps. Consume real-time, contextual, attack and threat event data in the mobile app without a server call out, and use the data to educate, remediate, or delight users when attacks happen.