IDLive®️ Face — Facial Liveness Detection

Why choose passive facial liveness detection components from Mitek?

No extra steps, fewer drop-offs

With IDLive Face, users simply take a selfie. This passive approach ensures a seamless user experience and reduces costly customer abandonment.

Inclusive by design

IDLive Face is rigorously tested to deliver unbiased results across race, gender, and age; ensuring secure, seamless access for everyone no matter who they are or where they’re from.

Invisible defense against attacks

IDLive Face strengthens authentication across both mobile and web platforms by blocking presentation attacks and account takeovers. Fraudsters can’t detect it’s running, which keeps your defenses hidden while trust stays intact.

Lightweight and cost-efficient

No video streams, no heavy infrastructure. IDLive Face uses just a single selfie, cutting network traffic and bandwidth needs. Scale effortlessly while lowering costs without sacrificing performance.

IDLive Face features for passive live detection

IDLive Face delivers invisible, one-selfie liveness checks on any device with no extra steps, no hardware, no friction. Powered by advanced AI and backed by global certifications, it stops advanced fraud while keeping onboarding fast and effortless.

Seamless security with zero user effort

IDLive Face makes liveness checks invisible to users—just one selfie, no extra steps. The result: smoother onboarding, fewer drop-offs, and no hints for fraudsters to exploit.

No blinking, smiling, or head-turning required
Detects natural face movements when present
Instant verification in under a second
Imperceptible to users, inaccessible to fraudsters

Single-selfie detection

Unlike video-based solutions, IDLive Face requires only the selfie for facial recognition. It’s lightweight, flexible, and easy to deploy across any channel.

Works with mobile, web, or stand-alone devices
No capture-side apps or special hardware needed
Single image vs. multiple frames or video streams

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AI-powered fraud protection

IDLive Face leverages deep machine learning to detect and stop injection attacks that humans can’t.

Prevents diverse attack content including stolen images, recorded video, live streams, deepfakes, digital renderings, face swaps, morphs, and other AI-driven spoofs

Blocks malicious JavaScript modifications on desktop and mobile

Detects injection attacks from virtual or external cameras

Stops man-in-the-middle replay attacks and defends against emulators, cloned apps, and fraud tools

AI Presentation Attack Prevention Graphic

Certified accuracy everywhere you need it

Backed by global certifications, IDLive Face is tested and trusted at scale. It detects attacks in the background while ensuring fairness and inclusivity for every user.

ISO 30107-3 Level 1 and 2 compliant
iBeta/NIST Level 1 and 2 PAD compliant
Verified on both iOS and Android
Proven across millions of liveness checks every month

Flexible deployment options

IDLive Face adapts to your environment, making integration fast, simple, and scalable. Choose cloud or on-device deployment, while maintaining high security and performance.

Available as an SDK or Docker container with a straightforward RESTful API
Mobile SDK (beta) supports FIDO-compliant, on-device deployment
Runs seamlessly on both Android and iOS devices
Integrates easily across mobile, web, and stand-alone platforms
Scalable solution for enterprise and cloud environments

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Stronger security across every touchpoint

Apply liveness detection seamlessly throughout the customer journey from onboarding to high-risk step-ups ensuring only real users get through.

Remote customer onboarding
Mobile and online biometric authentication
Two-Factor Authentication (2FA)
Physical biometric access systems

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See our facial liveness detection in action

Ready to outsmart fraudsters? Schedule a demo and watch IDLive Face deliver invisible verification, with liveness checks, that beat today’s most advanced spoofing attacks.

“Supporting millions of banking transactions a month, one of our customers migrated from an active face liveness technique to Mitek passive liveness, and completion rates increased from 60% to 95%+.”

LARGE GLOBAL PARTNER

Defend yourself with Mitek solutions against different types of facial representation attacks

Bad actors use a wide array of techniques to try and deceive biometric authentication systems.

Injection attacks

Stop fraud from virtual and external cameras used to bypass verification.

Deepfakes

Stop images, video, AI-generated deepfakes, face swaps, and morphs from fooling systems.

Replay attacks

Block man-in-the-middle attempts to reuse stolen verification data.

Emulators

Detect emulators, cloned apps, and software built for attacks.

Code tampering

Prevent JavaScript modifications on desktop and mobile browsers.

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FREQUENTLY ASKED QUESTIONS

What is face liveness detection?

Technology that verifies a person is real and present, not a photo, video, or mask.

Why is face liveness detection important for security?

It prevents impersonation, account takeover, and identity fraud by ensuring the person is physically present.

What is the difference between active and passive liveness detection?

Active liveness detection requires user actions (such as blinking or turning your head); passive works silently in the background without user prompts.

How does passive face liveness detection work?

AI analyzes facial features, depth, and movement to confirm real presence, spotting spoofing attempts automatically.

What types of fraud does face liveness detection prevent?

Photo, video, mask, and replay attacks used to impersonate a legitimate user.

Is liveness detection the same as facial recognition?

No. Liveness ensures the person is real and present; facial recognition identifies or matches who they are or who they claim to be.

Imperceptible facial liveness detection