Real-Time Biometric Fraud Detection: Stop Deepfakes and Identity Spoofing
Ensuring that every face match and liveness check is genuine—and free from sophisticated spoofing attempts—is critical to safeguarding your business and customers against identity fraud.
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Key Benefits
What is Biometric Fraud Detection
and Why Does It Matter?
Biometric fraud detection uses AI-powered facematch and liveness checks to spot spoofing attempts—like photos, videos, masks, and deepfakes—in real time, preventing account takeovers and identity fraud.
Real Time Analysis
How Does ScreenlyyID’s Biometric Fraud Detection Work?
ScreenlyyID’s platform ingests a live selfie video stream and runs it through four inspection layers in milliseconds:
Facial Texture and Depth Analysis
Verifying Real Skin and 3D Presence in Real Time
This analysis checks for real skin texture and 3D depth using computer vision, helping distinguish a live human face from flat images, screens, or deepfakes by identifying natural lighting and surface cues.
Micro-Expression Detection (e.g., blinking, subtle movements)
Spotting Human Involuntary Movements That Bots and Fakes Can’t Mimic
By tracking involuntary facial movements like blinking and subtle shifts, the system confirms the subject is a live person—not a still image or pre-recorded video.
Detecting Fraud with Machine Learning
AI-Based Spoof Detection (e.g., detecting printed photos, replays, masks)
Machine learning models detect spoofing attempts by spotting visual anomalies—like repeated patterns or texture flaws—typical in fake images, replays, or deepfakes.
Flexible, Scalable Protection for Any Use Case
Industry-Focused Real-Time Biometric Fraud Detection Solutions
Different sectors face unique fraud challenges and risk environments. ScreenlyyID adapts its real-time biometric fraud detection to fit a wide range of use cases, offering flexible verification flows, configurable risk thresholds, and seamless integration—ensuring accuracy, security, and a smooth user experience across any application.
More Features
Unleash advanced KYC verification capabilities
Experience real-time analytics, no code integrations, advanced risk assessment, and powerful APIs to manage your organizations KYC Verification.
Frequently Asked Questions
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Everything you need to know about ScreenlyyID's Document Authentication solution. Can’t find the answer you’re looking for? Please chat to our friendly team.
It’s the process of analyzing live face captures and device data to instantly detect spoofing attempts—such as deepfakes, masks, and replays—during identity verification.
Our platform can run background liveness checks during active sessions, ensuring ongoing authenticity.
Passive liveness works silently in the background, analyzing facial features and behavior without asking the user to move or respond to prompts. Active liveness, by contrast, requires the user to take specific actions like blinking or turning their head. Passive methods offer a more seamless and user-friendly experience.
Yes, passive liveness detection is optimized for mobile and remote onboarding. It requires no special hardware and integrates easily into mobile apps or web-based flows, making it ideal for verifying users anywhere, anytime—without adding friction.
ScreenlyyID’s face detection engine checks 68 focal points with a 0.08% error rate.
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