Digital Identity: 5 Reasons The Industry Will Change Forever

What Is Liveness Detection?   

Liveness detection is a method of verifying that a person is physically present during identity verification, rather than using a static image, photo, or video. It’s a core technology in digital identity verification, especially for KYC (Know Your Customer) processes, banking security, and fraud prevention.

In today's high-risk digital environment, the importance of liveness detection has surged. According to recent identity fraud reports, the number of online impersonation attacks continues to climb — with deepfakes and synthetic identities becoming mainstream threats. Businesses are increasingly turning to liveness detection to protect their users, ensure compliance, and build trust.

How Does Liveness Detection Improve Security?   

Liveness detection combats spoofing by asking the user to perform specific actions (active) or by analyzing biometric data passively. For instance, smiling or blinking are often used because these micro-movements are nearly impossible to replicate with a static image or video.

This technology plays a vital role in KYC and remote onboarding, ensuring that individuals are real and not impersonated. Financial institutions, telecoms, healthcare platforms, and even voting systems now rely on liveness checks to verify users securely.

What Makes a Liveness Check Valid?   

Not all liveness detection software is equally secure. Certifications such as ISO/IEC 30107-3 and ISO 27001 are essential benchmarks. A valid liveness check must pass rigorous biometric presentation attack detection (PAD) testing.

Identomat’s liveness detection software is:

• ISO/IEC 30107-3 certified
• ISO/IEC 27001 certified
• iBeta Level 2 PAD compliant
• Built with an adaptive hybrid engine that merges passive and active liveness methods

This hybrid approach enables both high user conversion rates and strong anti-spoofing defenses — delivering the best of both worlds.

Types of Liveness Detection   

Passive Liveness Detection

This method doesn’t ask the user to take any specific actions. The system silently analyzes facial features, textures, lighting, and other biometric signals. It offers:

• Minimal friction
• Faster onboarding
• Lower drop-off rates

However, it may struggle against increasingly sophisticated deepfake attacks.

Active Liveness Detection 

Active methods involve challenge-response tests like smiling, turning the head, or blinking. These actions help confirm the user’s physical presence in real-time, providing stronger protection against spoofing but can introduce more user friction.

Adaptive (Hybrid) Liveness Detection 

Adaptive systems, like Identomat’s, intelligently blend passive and active techniques based on risk levels — balancing security and user experience dynamically.

List Of Best Liveness Detection Software Tools in 2025   

With increasing pressure to deliver seamless, secure identity verification, businesses are evaluating liveness detection solutions that combine compliance, performance, and user experience. Below is a breakdown of five of the most robust options on the market, starting with Identomat.

1. Identomat (Best Overall Choice)

Identomat delivers an adaptive liveness detection engine that combines the strengths of passive and active liveness methods. This hybrid approach ensures minimal friction for the user while maintaining high protection against deepfakes and biometric spoofing.

Identomat's Active Liveness check solution meets ISO/IEC 30107-3 standards and has passed the iBeta Level 2 PAD compliance test. Identomat is trusted by major banks, fintechs, crypto exchanges, and online gambling platforms including Paysera, WhiteBit, TBC Bank, Silknet, and Europebet. Its hyper-configurable workflows allow businesses to tailor the user experience based on risk, compliance, and onboarding requirements. Ideal for organizations needing both regulatory rigor and conversion efficiency.

Identomat stands out for its unique blend of security and usability. Its adaptive engine intelligently assesses user risk and adjusts the type of liveness check accordingly, providing a seamless experience for low-risk users and invoking more robust methods when needed. This flexibility ensures high pass rates without compromising security. Moreover, its dedicated compliance engine is designed to support evolving regulations across different jurisdictions, making it a future-proof choice for growing enterprises.

2. FaceTec

FaceTec is widely known for its rigorous liveness detection protocols and strong anti-spoofing capabilities. It offers both 3D face authentication and advanced challenge-response mechanisms, making it particularly strong in government and enterprise security contexts.

FaceTec’s technology is often deployed in financial services, law enforcement, and remote identity verification platforms that require high assurance levels. Its proprietary 3D liveness model is one of the most tested in the industry, though it can introduce more friction for users depending on configuration.

3. Veriff

Veriff specializes in fast, AI-powered identity verification, integrating passive liveness detection into its onboarding flows. It’s well-suited to high-growth platforms in fintech, mobility, and gaming where speed and user experience are paramount.

While Veriff doesn’t publicly promote certifications like iBeta L2 or ISO/IEC 30107-3, its technology is SOC 2 Type II compliant and has undergone various in-house anti-spoofing tests. The company is also investing heavily in fraud detection beyond facial recognition.

4. ID R&D

ID R&D is a biometric authentication provider that excels in passive liveness detection, with an emphasis on user experience. Its solution operates silently in the background, analyzing texture, light reflection, and subtle facial cues to detect spoofing attempts.

A 2022 case study highlighted that switching from active to passive liveness checks using ID R&D improved a client’s onboarding success rate from 60% to over 95%. While ideal for reducing abandonment rates, ID R&D’s approach may require supplemental risk-based checks in high-stakes use cases.

5. Onfido

Onfido offers a modular identity verification suite, with liveness detection available as part of its biometric and document verification workflows. Its Smart Capture SDK enables real-time liveness checks using both passive and active cues.

The company works primarily with financial services, online marketplaces, and digital banking providers. Though its liveness detection isn't as customizable as some others, Onfido stands out for integration flexibility and an intuitive developer experience.

Comparison Table: Liveness Detection Software in 2025   

Deepfakes: The Growing Threat   

Deepfakes — AI-generated fake images and videos — are now being used in sophisticated identity fraud attempts. These attacks are harder to detect and can defeat basic image-based KYC tools.

Identomat combats deepfakes by detecting:

• Screen Replay Attacks
• Video stream injection
• Deepfake puppets
• Digital renderings

Its spoof detection engine is constantly evolving, helping companies stay ahead of emerging threats.

Why Leading Brands Choose Identomat   

Trusted by major institutions like Paysera, Credit Agricole, ProCredit Bank, TBC Bank, Bank of Georgia, Aldagi, and Silknet, Identomat delivers liveness detection that scales with your business needs.

With hyper-configurable workflows and an adaptive security engine, it meets compliance standards while optimizing for user experience. Whether you're a bank, telecom, insurer, or fintech company — Identomat is built to elevate your security posture.

Frequently Asked Questions (FAQ) 

What is a liveness check in KYC? 

A liveness check is a process used during KYC to verify that a person is physically present and not attempting to use a photo, video, or mask to spoof identity verification systems.

What is a passive liveness check? 

Passive liveness checks analyze facial data without requiring user interaction. It runs in the background and is designed for a fast, seamless onboarding experience.

What is liveness check technology? 

Liveness detection technology uses computer vision and AI to detect whether biometric input (usually a face) comes from a live person. Techniques include facial micro-movement tracking, image texture analysis, and real-time interaction tests.