Real-Time Facial Liveness Detection Software That Stops Spoofing in Its Tracks
Protect your identity with real-time facial liveness detection that stops fraud instantly. Fast, secure, and seamless verification for every user.

What Is Liveness Detection?
Liveness detection is the process of confirming that a biometric input — typically a face scan — is coming from a real, live human being and not a photo, video, mask, or deepfake. It’s a critical component of secure digital identity verification, especially for KYC, onboarding, and high-risk transactions.
Why Liveness Checks Matter
Without robust liveness detection, even the most accurate facial recognition systems can be tricked by simple spoofing techniques. Liveness checks help prevent:
- Presentation attacks using photos, printed images, or video replays
- Deepfake and synthetic identity fraud
- Bot-driven verification attempts
By incorporating real-time facial monitoring, you ensure only legitimate users gain access to your platform — reducing fraud, chargebacks, and regulatory risk.

Active, Passive, and Hybrid Liveness – Tailored to Your Needs
Different businesses need different types of protection. That’s why we support multiple modes of detection to give you flexibility and control.
Active Liveness
asks users to perform simple actions like blinking or turning their heads. It offers strong assurance for high-risk operations.
Passive Liveness
works silently in the background, analyzing facial cues without requiring any user interaction. This method is ideal for frictionless user experiences.
Hybrid Liveness
combines both approaches, offering a balance of security and convenience. It’s a perfect fit for platforms that need high fraud protection without creating user drop-off.
How Idenfo Direct Confirms Real User Presence
Our liveness detection engine uses cutting-edge AI and computer vision to distinguish real users from spoof attempts — without sacrificing speed or simplicity.
Core Features:
Deep-learning powered facial liveness recognition
High accuracy against printed photos, masks, deepfakes
Real-time facial monitoring during capture
Built-in spoof detection and threat categorization
Mobile-first and SDK-ready
Supports multi-device and low-light scenarios
Built for Regulated and Risk-Sensitive Industries
Our facial liveness software is trusted by organizations across multiple verticals:
- Fintech and digital banking (KYC, remote onboarding)
- Crypto and blockchain platforms (AML compliance)
- E-commerce & gig economy (identity fraud prevention)
- Healthcare and insurance (secure patient access)
Government and public sector (citizen identity programs)

How It Works: From Face to Verification in Seconds
Here’s a high-level look at how our system works:
Your user simply takes a selfie or video during onboarding. In real time, our AI engine analyzes the input for liveness characteristics like micro-movements, texture depth, and lighting inconsistencies. Within seconds, the system confirms whether the person is real — or rejects the input as a spoof.
Results are delivered with confidence scores and decision tags, making it easy for your compliance or risk team to take action.
Compliance and Privacy You Can Rely On
Liveness detection isn’t just a security feature — it’s a compliance requirement for regulated industries. Our software is designed with privacy and regulation in mind.
We support GDPR, ISO/IEC 30107-3 standards, and are fully compatible with KYC, AML, and eKYC workflows. You get powerful, privacy-respecting biometric checks that keep regulators satisfied and users protected
Frequently Asked Questions
Is this software compatible with mobile and web?
Yes, our liveness checks work across iOS, Android, and web platforms.
Can I choose between active and passive liveness?
Absolutely. We support active, passive, or hybrid modes depending on your risk profile
How fast is the liveness check process?
Our detection runs in real time — most verifications complete in under 3 seconds.
How do you prevent deepfakes or AI-generated fraud?
Our AI is trained on advanced spoofing techniques, including 3D masks and synthetic videos, to ensure deepfake protection
- Name matches on recognized sanction lists
- Non-residency in the country of application
- Nationality from a country subject to UN sanctions