Liveness Detection Software
Validate Both the Person & the ID Are Real
Unlike standard selfie and liveness tools, SEON pairs biometric signals with fraud intelligence and centralizes all decisioning in a unified fraud, IDV and AML Command Center.
The SEON Difference
Verify Digital Trust, Selfie & Document Liveness
Eliminate User Friction
Unmask Sophisticated Attacks
See Everything in One Dashboard
HOW LIVENESS DETECTION WORKS
Verify Liveness Across Multiple Dimensions In Seconds
Guide customers through passive selfie and document capture with clear instructions that ensure perfect photos on the first try. No awkward movements required.
Analyze the Intent First
Before the camera even opens, SEON analyzes fraud signals across email, phone number, IP and the user’s device to establish a baseline trust. Even convincing deepfakes faces can’t hide the absence of legitimate online history.
Capture the ID Document & Selfie
Customers receive clear, real-time instructions to capture both their face and ID document in seconds through a simple, passive process.
Detect Presentation & Injection Attacks
Simultaneously detect injection attacks, browser-based spoofing, presentation attacks and manipulated streams in real-time.
Catch Organized Fraud Rings
Compare faces across sessions to spot the same person using multiple IDs or the same ID used by different people.
Get an Automated Decision in Seconds
Combine all verification layers into one risk decision, giving you the complete picture in one verdict.
SEE IT IN ACTION
Bring Fraud Context Into Every Verification Step
BUILD FOR WHAT’S NEXT
Orchestrate the Perfect Verification Path For Every Risk Scenario Without Code
A selfie check for every user can be overkill. With SEON, you decide. Liveness verification is just one tool in your arsenal. Use our drag-and-drop workflow to add the exact checks you need, right when you need them.
Learn More About Liveness Detection
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See why document-first ID verification creates blind spots, and why real verification starts with context, not a scan.
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Learn how to spot deepfakes using pre-KYC risk signals plus device, IP, and risk-based IDV.
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See how liveness detection stops deepfakes and spoofing and strengthens modern identity verification.
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Learn how to detect and prevent synthetic identity fraud with tools like digital footprinting, device intelligence, and machine learning.
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Integration
Integrate Quickly Using One SDK
Forget juggling multiple vendors. Our SDK is your single entry point to our entire suite of fraud, AML compliance and case management tools. Plug in the SDK across iOS, Android, Web and Flutter to support global user bases and get started in as little as 14 days.
Customers Like You Also Use
Digital Footprint Analysis
Using email, phone, and IP data, SEON crafts a highly detailed digital footprint of each user so you can detect fraudsters before KYC.
Device Intelligence
Protect your business from fraudsters and linked accounts by continuously analyzing real-time device and behavioral data points.
ID Verification
Traditional ID verification is flat. It only validates the ID document or number is real, but can’t tell you if they person behind it is an imposter.
Proof of Address
Combine AI-powered document analysis with fraud intelligence to confirm document authenticity and unify all decisioning in one Command Center.
AML Screening & Monitoring
Keep your business and your revenue safe with anti-fraud and global AML screening, continuous monitoring, and rule-setting capabilities.
The #1 Fraud Prevention and AML Compliance Platform Loved by Fraud & Risk Teams
With over 350 reviews, SEON is the market leader and G2’s best fraud prevention platform.
Frequently Asked Questions
Liveness detection is a biometric check that confirms a real, live person is present during identity verification, not a photo, replayed video, mask, or deepfake. It adds “proof of presence” on top of face matching, so verification isn’t just about whether two faces look alike, it’s about confirming the person behind the screen is real.
Active liveness asks the user to do prompts such as blinking, smiling or turning their head to proove real-time presence. Passive liveness runs in the background by analyzing cues like motion, texture, and light without explicit user interaction, Hybrid liveness combines both approaches, applying stronger checks only when risk is higher and minimizing friction for low-risk users.
Document liveness detection verifies the ID itself is genuine and physically present (not a photocopy, manipulated image or a screen replay), while selfie liveness verifies the person is alive and not a spoofed face or injected video stream. Together, they help confirm both the document and the person are real, and that they belong to the same individual.
Effective identity verification starts before the camera opens, checking device, behavioral, IP, email, phone, and digital footprint signals for missing “digital history.” Then liveness checks for selfies catch spoofing, replay, and injection attacks. Combined, SEON delivers a single risk decision to stop deepfakes and synthetic identities without added friction for legitimate users.
Ready To Eliminate Digital Ghosts From Your KYC Funnel?
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