Deep Fake Detection Plugins Unveiled to Strengthen ATO Protection in Android & iOS Apps
Appdome, a leader in mobile business protection, has announced the extension of its Account Takeover Protection (ATO) suite with 30 new dynamic defense plugins for Deep Fake Detection in Android & iOS apps. These plugins are designed to ensure the integrity of Apple Face ID, Google Face Recognition, and third-party face and voice recognition services against AI-generated and other deepfake attacks.
The Need for Enhanced Security
The mobile economy relies heavily on the integrity of facial recognition, Face ID, and other biometric authentication methods. However, attackers are constantly finding new ways to bypass biometric authentication. Appdome is taking on the challenge of AI-generated Deepfake Attacks and providing mobile businesses with granular detection and control defenses to stop these attacks inside the mobile app, preventing them from passing attack data to other systems. This is a great way to combat ATOs and ODF quickly and efficiently.
The Rise of Deepfakes
Deepfakes, which are AI-generated synthetic images and videos, have emerged as a significant threat to biometric authentication methods. These attacks can easily generate hyper-realistic and adversarial replications or manipulations that can fool facial and voice verification systems. Attackers use virtual cameras to inject pre-recorded or live video streams into the facial recognition process, or manipulate face data processing in real-time to bypass liveness detection processes. The speed of evolution, ease of use, and ubiquity of deepfake attacks make deepfake detection one of the top anti-fraud and anti-ATO objectives for brands and enterprises in 2025.
Appdome’s Solution
Appdome’s Deep Fake Detection plugins sit on top of OS-native or third-party Face ID, facial recognition, and voice recognition methods, including face verification SDKs. This approach ensures that any facial recognition process is secure from deepfake attacks and provides enhanced integrity and security for authentication workflows, regardless of the provider. The company’s dynamic defense plugins use real-time behavioral analysis to detect the behaviors and methods that the multitude of FaceID bypass and AI-based Deep Fake and Voice Cloning tools use to exploit authentication checks in Android & iOS apps.
Key Features
The 30 new dynamic defense plugins for Deep Fake Detection include:
- Face ID Bypass: Detects attempts to bypass native Android and iOS biometric, facial recognition authentication systems on mobile devices, including FaceID and Biometric API calls, hardware abstraction layers, and more.
- Deep Fake Apps: Detects deepfake and face swap apps that can be used to spoof facial recognition services used by Android and iOS applications, including in combination with virtual camera and video injection tools.
- Deepfake Video Detection: Detects synthetic identity attacks, video injection, frame and image buffer attacks, Direct Memory Access (DMA) attacks, monitors face embeddings, and more.
- Appdome Liveness Detection: Applies primary or secondary liveness check to ensure a real face is used during the facial recognition process, applying AI models to verify 3D depth, skin texture, lighting, eye reflectiveness, the strength of liveness image, and more.
- Voice Cloning: Detects synthetic voice spoofing and voice cloning apps when in use with the protected application, perfect for applications that rely on "my voice is my password" authentication workflows.
Conclusion
Appdome’s new dynamic defense plugins for Deep Fake Detection are designed to provide mobile businesses with the tools they need to protect against AI-generated and other deepfake attacks. With these plugins, mobile app developers and face recognition vendors can ensure the integrity of Apple Face ID, Google Face Recognition, and third-party face and voice recognition services against deepfake attacks.
FAQs
Q: What is the purpose of Appdome’s Deep Fake Detection plugins?
A: The purpose is to provide mobile businesses with the tools they need to protect against AI-generated and other deepfake attacks.
Q: What are the key features of Appdome’s Deep Fake Detection plugins?
A: The key features include Face ID Bypass, Deep Fake Apps, Deepfake Video Detection, Appdome Liveness Detection, and Voice Cloning.
Q: How do Appdome’s Deep Fake Detection plugins work?
A: The plugins use real-time behavioral analysis to detect the behaviors and methods that the multitude of FaceID bypass and AI-based Deep Fake and Voice Cloning tools use to exploit authentication checks in Android & iOS apps.
Q: What are the benefits of using Appdome’s Deep Fake Detection plugins?
A: The benefits include enhanced integrity and security for authentication workflows, detection of deepfake attacks, and prevention of attack data from passing attack data to other systems.
