Biometric authentication built into your identity verification flow
Use face matching and liveness checks alongside document verification to confirm the person behind the identity — all within one streamlined KYC experience.
👤 Confirm the person matches the ID: Compare a live selfie against the identity document presented during verification.
🛡 Detect spoofing and impersonation: Add liveness and biometric checks to help identify attempts to use photos, screens, masks, or other presentation attacks.
⚡ Keep KYC in one flow: Combine document capture, authentication, biometrics, and fraud signals without stitching together separate verification experiences.
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How it works
One system. Four integrated pillars.
The Identity Intelligence OS connects real-time identity signals, fraud intelligence, policy controls, and orchestration into a single decisioning engine. No black-box scoring. No blind spots between stages.
Capture Signal at the Source
IDs, biometrics, payment cards and registry data, validated before submission.
Evaluate Cross-Signal Correlation
Not isolated scores. Contextual risk across every signal simultaneously, in real time.
Decide With Client-Controlled Outcomes
Approve / Step-up / Limit / Monitor / Block. FAR/FRR tuned by clients, not by us. Granular user journey analytics.
Persist Identity Profile
Maintain security beyond the login. Track evolving behavior and use adaptive verification to ensure trust remains unbroken throughout the entire lifecycle.
Leader In Independent Government Testing
The DHS Remote Identity Validation Rally (RIVR) is one of the few independent, government-run benchmarks for remote document verification and fraud detection performance.
Microblink was the only provider to meet every high-performing benchmark across fraud detection accuracy, operational reliability, genuine user approval, and cross-device consistency.
Interactive Demo
Take a Tour
Testimonials
The Voice of Our Customers
Microblink was very easy to integrate and allowed us to move quickly without compromising on security or compliance.
The SDK gave us a strong plug-and-play starting point, and the Microblink team was highly responsive throughout testing and rollout.
Overall, it was a very smooth experience.
— Mathieu Hartvick
Instacart
Software Engineer and Project Lead
Banco Azteca was able to easily implement BlinkID across multiple mobile applications and use cases, whether users were trying to open a bank account or apply for a loan.
We couldn’t be more impressed with how agile and versatile it is, seamlessly integrating with our onboarding processes while delivering accurate, real-time results.
— Francisco León
Banco Azteca
IT Director
By integrating Microblink’s technology into our platform for automotive lenders across Mexico, we’ve been able to dramatically accelerate and optimize ID verification.
We’ve achieved a 98% success rate, making the entire KYC process faster, smoother, and more reliable for our business and our customers.
— Fabián Ramírez
Latin ID
Product owner
Microblink was very easy to integrate and allowed us to move quickly without compromising on security or compliance.
The SDK gave us a strong plug-and-play starting point, and the Microblink team was highly responsive throughout testing and rollout.
Overall, it was a very smooth experience.
— Mathieu Hartvick
Instacart
Software Engineer and Project Lead
Banco Azteca was able to easily implement BlinkID across multiple mobile applications and use cases, whether users were trying to open a bank account or apply for a loan.
We couldn’t be more impressed with how agile and versatile it is, seamlessly integrating with our onboarding processes while delivering accurate, real-time results.
— Francisco León
Banco Azteca
IT Director
By integrating Microblink’s technology into our platform for automotive lenders across Mexico, we’ve been able to dramatically accelerate and optimize ID verification.
We’ve achieved a 98% success rate, making the entire KYC process faster, smoother, and more reliable for our business and our customers.
— Fabián Ramírez
Latin ID
Product owner
Add biometric confidence without adding unnecessary friction
Talk with our team about combining biometrics, document verification, and fraud signals into one streamlined identity verification experience.
Thank you for contacting us!
We appreciate your interest in our products and will get back to you shortly.
If you want to see our demo in action and talk about your use case, feel free to book a meeting .
Biometric Authentication Software
Verify real users. Block deepfakes. In seconds.
Learn how Microblink's biometric authentication software verifies identity through passive facial recognition, deepfake detection, and injection attack prevention. Discover how continuous biometric signals protect against presentation attacks, maintain security across logins and transactions, and deliver frictionless user experiences while staying ahead of AI-powered fraud.
Biometric authentication is a security method that verifies a person's identity using unique physical or behavioral characteristics, such as facial recognition or fingerprints.
The platform uses passive liveness detection (a single selfie) to verify presence, detect presentation attacks (printed photos, masks, screens), identify deepfakes, and match the face to the verified ID document.
The solution uses four detection layers simultaneously: presentation attack detection, deepfake and GenAI detection, injection and replay detection, and facial matching against verified documents.
Yes, the platform detects synthetic faces, morphs, and GenAI-generated images. The Fraud Lab continuously generates new deepfake variants to retrain detection models before new threats appear.
Passive liveness detection confirms a live person is present without requiring user actions like head turns or verbal prompts. Users simply capture a natural-looking selfie.
Microblink's system corrects glare, blur, and framing in real time during capture, making the experience feel like taking a selfie rather than passing a security checkpoint.
No, the verified face becomes a continuous signal across login, step-up checks, and high-risk transactions throughout the customer lifecycle.
The verified face is linked to the device, ID document, and optionally a payment card, so organizations always know whether the same person is present at each interaction.
The platform achieves 98%+ first-time pass rates and is iBeta Level 2 PAD tested for presentation attack detection.
The internal team of AI scientists generates synthetic faces, reconstructs deepfake patterns, and stress-tests detection models against real adversarial conditions before they reach production systems.
Our AI-powered products prioritize security and privacy, backed by our certifications.
We implemented a Information Security Management System which is certified by DNV according to
We implemented a Privacy Information Management System which is certified by DNV according to ISO/IEC 27701 standard.
We implemented a Information Security Management System which is certified by DNV according to
We implemented a Privacy Information Management System which is certified by DNV according to ISO/IEC 27701 standard.
Join Microblink’s Fraud Lab as they trace the path from leaked identity data to the attacks it can enable and the defenses built to detect them.
Register to join