Mobile deepfake attacks
Deepfake-enabled attacks are changing what mobile face authentication has to withstand. Across Asia, mobile-first banking, rapid digital onboarding, and fragmented device environments are creating the exact conditions these attacks exploit.
This playbook explains how those attacks work, why the real exposure sits in the device, runtime, and camera path behind the biometric check, and what banks can do to close the gap.
What you'll learn:
How deepfake-enabled attacks bypass mobile face authentication on real-world devices
Why attackers target the device, camera path, and runtime, not just the biometric check
What recent fraud cases across Indonesia, Thailand, and Vietnam reveal about mobile banking exposure
Why liveness and AI detection alone leave a gap in the app and runtime behind face-auth
Where banks are most exposed across onboarding, login, recovery, and step-up approval
How a layered control model adds device trust, app integrity, runtime protection, and usable evidence
Where Promon Shield for Mobile™ fits in protecting the environment behind face authentication
Is your mobile face-auth flow ready?
If your teams cannot confirm device trust at the moment of authentication, detect runtime tampering in-session, or explain what happened around a face-auth result, your app may be a blind spot in your fraud and compliance posture.
Download the playbook to find out how to close the gap.
