Biometric authentication methods like Apple Face ID, Google Face Unlock, Android Biometric APIs, third-party voice authentication, and third-party facial verification systems, have become the foundation of secure mobile experiences. From mobile banking to e-commerce apps, consumers rely on biometric authentication to gain quick and secure access to billions of transactions worldwide. Mobile businesses promote biometric authentication as the gold standard for secure access, ensuring that only the real user can access sensitive accounts and perform transactions.
In 2025, AI-driven deepfakes and face recognition bypass methods are threatening to cripple biometric authentication, leaving mobile businesses and users vulnerable to on device fraud (ODF), account takeovers (ATO), and scams.
The Rise of AI Deepfakes: Biometric Authentication Under Siege
Fraudsters have figured out how to bypass biometric authentication. They don’t have to rely on tricking users into giving up credentials. They can intercept, manipulate or spoof biometric authentication systems directly, without the user’s participation, to gain access to mobile apps and accounts, adding a powerful tool to account takeover (ATO) attacks.
New 2025 biometric bypass techniques include:
On-Device Face ID Bypass – Attackers manipulate the local authentication API, intercepting and modifying the success/failure response before it reaches the mobile app.
Third-Party Biometric SDK Exploits – Many mobile apps use external biometric authentication SDKs that send biometric data to third-party servers for verification. Attackers intercept or replace the image/video data before it reaches the SDK on device or the remote service in the cloud using a synthetic deepfake. Even if the biometric SDK performs liveness checks, the attacker can spoof the return signal, making the mobile app believe the verification passed.
Deepfake Video Injection Attacks – Attackers inject synthetic video streams to impersonate real users. By redirecting the device’s camera input, they replace the real-time facial recognition feed with a pre-recorded deepfake video or AI-generated animation.
Virtual Camera Substitution – Instead of using the device’s real camera, attackers replace the camera feed with a manipulated video stream. Attackers intercept and modify the stream before it reaches biometric authentication systems, effectively bypassing identity verification.
Voice Cloning & Audio Deepfakes – AI-generated voice clones are now being used to bypass authentication in apps that rely on voice recognition. Attackers capture or synthesize a person’s voice and use it to bypass “my voice is my password” authentication systems.
By intercepting and manipulating biometric authentication responses, attackers can gain full control over user accounts, bypass security measures, and execute on device fraud at scale. How can mobile brands and businesses protect the integrity of the biometric authentication process itself?
How Appdome Restores the Integrity of Biometric Authentication
Biometric authentication is only as strong as its ability to withstand attacks and manipulation. Appdome AI-Native Deepfake Defense protects the integrity of the entire authentication process, ensuring that attackers cannot exploit weaknesses in Face ID, biometric SDKs, or authentication APIs.
To protect face and voice recognition in mobile apps, Appdome’s AI-Native deepfake defense monitors the points of interception and manipulation that attackers use to inject deepfakes, manipulate authentication signals, and interfere with the authentication process. Because these defenses work inside the Android & iOS app, attackers have nowhere to intercept, manipulate or attach to the face or voice recognition process. In addition, the defenses provide real-time threat intelligence to mobile app developers, allowing them to get the data and see when attackers use deepfake and biometric authentication bypass techniques and leverage this data in anti-fraud processes, enhanced due diligence (EDD) in Know Your Customer (KYC) processes, or to prevent account takeovers (ATOs) in Android & iOS apps in real time.
Unlike standalone biometric tools, Appdome safeguards the entire mobile app and mobile authentication process. Attackers using malware to bypass FaceID, virtual cameras, deep fake video injection, as well as other attacks like tampering with the mobile app and a myriad of other techniques will be stopped in their tracks. The Appdome protections built into mobile apps analyze device health, detect malware, and block threats like keyloggers, API interception, accessibility abuse, credential stuffing and more. With more than 400 dynamic defense plugins, Appdome protects the entire mobile app and the full authentication process, ensuring biometric authentication remains effective, trusted and tamper-proof. Through this unique approach, Appdome provides the most complete mobile app protection from account takeover(ATOs) with integrated fraud prevention.
Protect Your Mobile Business from Deepfake Attacks NOW
Biometric authentication is under attack. Every mobile business that relies on Apple Face ID, Google Face Unlock, Android Biometric APIs, or third-party biometrics are at risk. To protect the integrity of authentication, businesses must act now. Keep using your existing biometric authentication but strengthen it with Appdome’s in-app mobile defenses. Appdome is the only on-device solution that blocks deepfake manipulation in real time, stopping biometric fraud before it compromises authentication. With Appdome AI-Native mobile app protection, biometric authentication stays ahead of evolving AI-driven threats. Protecting trust in biometric authentication is a shared responsibility. Together, we can safeguard the global mobile economy and ensure secure, frictionless transactions for billions of users.
Don’t wait for an attack to happen. Get a demo today and protect the integrity of your mobile apps and biometric authentication.
