Biometrics
Confirm a person’s presence and match them to their ID. Keep the trust active across every login, payment, and high-risk action that follows.
PART OF A BIGGER PICTURE
Face biometrics is one real-time signal inside Microblink Identity Intelligence OS. Every result feeds directly into risk scoring, adaptive workflows, and continuous actor evaluation.
The face verified at onboarding becomes the reference point for the login two weeks later.
The step-up check at a high-value transaction draws on the same identity already on file.
Linked to a verified ID, and a payment card, the biometric builds a complete picture of who is acting.
How it works
From the first selfie at onboarding to a step-up check at a high-risk transaction, the same capture experience and the same signals apply. Users move forward and the system remembers context.
A single selfie triggers four detection layers working simultaneously. Presentation attack detection catches printed photos, screens, and masks. Deepfake and GenAI detection flags synthetic faces and morphs. Video injection detection blocks anything that did not originate from a live camera. No prompts, no head turns, no instructions. Easier on users. Harder on attackers.
The selfie matches the document. Microblink compares the face on the selfie to the portrait on the verified ID and return a clear, confidence-scored result. The match works across global demographics and lighting conditions, so legitimate users glide through and impostors do not.
The system spots the artifacts that GenAI leaves behind. Injection and replay detection blocks anything that did not come from the live camera.Microblink’s Fraud Lab continuously generates GenAI faces, morphs, replays, and injection variants to retrain detection models before new attack patterns reach production. By the time a threat appears in the wild, the models have already seen it.
Link a verified face to a device, ID, and optionally a payment card. That verified identity travels with the user across login, step-up checks, and high-value transactions. Organizations always know whether the same person is on the other side, not just at onboarding.
Most face checks fail because the capture itself fails. Bad light. Wrong angle. No guidance. Microblink fixes this at the source. Frameless face capture is 5x faster than in-frame capture. Microblink corrects glare, blur, and positioning in real time, before the photo is even taken. Users hold the phone naturally. The system does the work and people get it right on the first try. The result: a check that feels like taking a selfie, not passing a security checkpoint.
A session-level funnel tracks every step from the first camera frame to a completed capture. Conversion analytics explain each unsuccessful attempt, from glare and blur to retries, time spent in capture and camera-permission drop-offs. Capture issues show up separately from fraud indicators. Teams turn those insights into higher approval rates, less manual review and faster iteration. Analytics captures operational and behavioural events only. No personal data is collected or stored.
A single selfie triggers four detection layers working simultaneously. Presentation attack detection catches printed photos, screens, and masks. Deepfake and GenAI detection flags synthetic faces and morphs. Video injection detection blocks anything that did not originate from a live camera. No prompts, no head turns, no instructions. Easier on users. Harder on attackers.
The selfie matches the document. Microblink compares the face on the selfie to the portrait on the verified ID and return a clear, confidence-scored result. The match works across global demographics and lighting conditions, so legitimate users glide through and impostors do not.
The system spots the artifacts that GenAI leaves behind. Injection and replay detection blocks anything that did not come from the live camera.Microblink’s Fraud Lab continuously generates GenAI faces, morphs, replays, and injection variants to retrain detection models before new attack patterns reach production. By the time a threat appears in the wild, the models have already seen it.
Link a verified face to a device, ID, and optionally a payment card. That verified identity travels with the user across login, step-up checks, and high-value transactions. Organizations always know whether the same person is on the other side, not just at onboarding.
Most face checks fail because the capture itself fails. Bad light. Wrong angle. No guidance. Microblink fixes this at the source. Frameless face capture is 5x faster than in-frame capture. Microblink corrects glare, blur, and positioning in real time, before the photo is even taken. Users hold the phone naturally. The system does the work and people get it right on the first try. The result: a check that feels like taking a selfie, not passing a security checkpoint.
A session-level funnel tracks every step from the first camera frame to a completed capture. Conversion analytics explain each unsuccessful attempt, from glare and blur to retries, time spent in capture and camera-permission drop-offs. Capture issues show up separately from fraud indicators. Teams turn those insights into higher approval rates, less manual review and faster iteration. Analytics captures operational and behavioural events only. No personal data is collected or stored.
Designed for Adversarial AI
Microblink’s Fraud Lab engineers defenses against emerging attacks that haven’t reached the market yet. An internal team of AI scientists generates synthetic IDs, reconstructs deepfake patterns, and stress-tests detection models against real adversarial conditions.
Inside the Fraud Lab:
Testimonials
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
Latest
Microblink helps organizations verify real users faster while blocking the presentation attacks, deepfakes, and injections that legacy liveness checks miss.
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AI agents are starting to act on your customers' behalf. Our Q4 releases help you trust the identity behind that authority, with expanded biometrics, GenAI fraud detection, and continuous document intelligence.
See What's New in Q4
