Identity verification

Onboard clients with a superior experience and peace of mind. Ensure that your customer is who they claim to be and prevent unwanted access to their accounts.

Identity verification.
The Preventor biometric authentication framework offers high-performance, field-proven face and video liveness detection, and voice recognition.
Global identity document authentication.
Streamlines the digital onboarding.
Government issued id authentication-front.
Government issued id authentication-back.
Photo match and liveness detection.
Identity document data extraction and verification.

Global identity document authentication

Fraudulent identification can be challenging to catch. Different jurisdictions make use of a wide variety of fraud prevention tactics that criminals are constantly adapting to.

Preventor regularly updates its documentation capabilities, so you can take advantage of the security measures of identity documents to ensure their authenticity.

How it applies to the digital onboarding?

The digital onboarding starts by selecting the identity document type, Preventor covers:

9.7K

Government issued-Id's

248+

Countries covered

138+

Languages supported

Authenticate the identity

Check visible security features in an ID document to verify its validity and genuinity. Detect security features visible in UV light within an ID document.

Read data from RFID chips built-in electronic documents (ePassport, eID and eDL) via NFC and perform all required authentications (CA, AA TA, PA). BSI certified.

Reads and verifies

Capture data from machine readable zone (MRZ) of any passport, ID, visa and other documents promptly.

Decode various 1D and 2D barcode formats such as PDF417, QR code, and aztec code.

Automatically determine document-issuing country, type, and series.

Photo match and liveness detection

Preventor combines face recognition, identity proofing, photo matching, and liveness detection technology to replace the manual identity proofing with a seamless onboarding solution.

Use reliable anti-spoofing algorithms and presentation attack detection (PAD) against sophisticated fraud. The facial recognition detects if it is not a real person and avoids deception through artificial intelligence.

Data extraction and verification

Using Optical Readable Character (OCR) technology can extract data from any document identity automatically. Cross check and verify all data read from the document and perform lexical analysis.

The entire process in less than 60 seconds!

The capture information can automatically populate the KYC, CRM, customer management software, etc. The information is not stored on the device, so there are no concerns about data security.

Global identity document authentication

Fraudulent identification can be challenging to catch. Different jurisdictions make use of a wide variety of fraud prevention tactics that criminals are constantly adapting to.

Preventor regularly updates its documentation capabilities, so you can take advantage of the security measures of identity documents to ensure their authenticity.

Global identity document authentication.

How it applies to the digital onboarding?

The digital onboarding starts by selecting the identity document type, Preventor covers:

9.7K

Government issued-Id's

248+

Countries covered

138+

Languages supported

Streamlines the digital onboarding.

Authenticate the identity

Check visible security features in an ID document to verify its validity and genuinity. Detect security features visible in UV light within an ID document.

Read data from RFID chips built-in electronic documents (ePassport, eID and eDL) via NFC and perform all required authentications (CA, AA TA, PA). BSI certified.

Authenticate the identity

Reads and verifies

Capture data from machine readable zone (MRZ) of any passport, ID, visa and other documents promptly.

Decode various 1D and 2D barcode formats such as PDF417, QR code, and aztec code.

Automatically determine document-issuing country, type, and series.

Reads and verifies

Photo match and liveness detection

Preventor combines face recognition, identity proofing, photo matching, and liveness detection technology to replace the manual identity proofing with a seamless onboarding solution.

Use reliable anti-spoofing algorithms and presentation attack detection (PAD) against sophisticated fraud. The facial recognition detects if it is not a real person and avoids deception through artificial intelligence.

Photo match and liveness detection.

Data extraction and verification

Using Optical Readable Character (OCR) technology can extract data from any document identity automatically.
Cross check and verify all data read from the document and perform lexical analysis.

The entire process in less than 60 seconds!

The capture information can automatically populate the KYC, CRM, customer management software, etc. The information is not stored on the device, so there are no concerns about data security.

Identity document data extraction and verification.

Ongoing authentication

The Preventor mobile biometric authentication framework offers high-performance, field-proven face and video liveness detection to prevent virtually all types of attacks during the onboarding and ongoing authentication, such as online login, banking transactions, and processes that requires an authorization.

The periocular eye recognition technology is capable to recognize partially hidden faces such as face masks. It looks at the fine features around the eyes, such as lashes, lid, brow, and folds in the skin, as well as the full or partial iris when visible.

For a video liveness detection, the user can be asked to turn the head at a certain angle with a challenge response to verify the real person movement.

Face recognition and Periocular authentication.
Icon arrow right
Biometrics voice recognition.
Voice authentication.
Biometrics Voice authentication.

Biometrics voice recognition

Voice authentication can be optionally added to make spoofing exponentially more difficult for fraudsters by ensuring the identity of your users through their voice.

Preventor detects a variety of voice spoof types, including recorded, filtered, and synthetic voices. Random numerical passphrases can optionally be required for even more thorough spoof protection.

Authenticate the voice

The user can privately choose a passphrase of their choice. The speaker will not be recognized until they say the phrase of their choice.

The system adapts itself to learn from the physical and environmental changes of the sound. Detection of recorded voice, modulated voice, filtered voice, and synthetic voice.

Flexible workflows

Voice recognition can be combined with face and eye recognition according to customer preference and desired level of security.

Voice authentication can be adapted as ongoing authentication to any transaction or business authorization process to improve security and efficiency.

Icon arrow right

Biometrics voice recognition

Voice authentication can be optionally added to make spoofing exponentially more difficult for fraudsters by ensuring the identity of your users through their voice.

Preventor detects a variety of voice spoof types, including recorded, filtered, and synthetic voices. Random numerical passphrases can optionally be required for even more thorough spoof protection.

Biometrics voice recognition.

Authenticate the voice

The user can privately choose a passphrase of their choice. The speaker will not be recognized until they say the phrase of their choice.

The system adapts itself to learn from the physical and environmental changes of the sound. Detection of recorded voice, modulated voice, filtered voice, and synthetic voice.

Voice authentication.

Flexible workflows

Voice recognition can be combined with face and eye recognition according to customer preference and desired level of security.

Voice authentication can be adapted as ongoing authentication to any transaction or business authorization process to improve security and efficiency.

Biometrics Voice authentication.

Biometrics facial identification

Preventor compares one-to-many identities with face and eye recognition using a convolutional neural network (CNN), which can prevent identity theft, fraud, and the creation of duplicate profiles in your database.

It works by comparing two templates – one from the probe image and one from the enrollment database to find a potential match., then a match score is generated for each pair of templates, indicating how similar the two images are.; finally, a match threshold compares with the match score to consider similar enough to be a potential match.

Biometrics Facial identification.
Icon arrow right
Attack types detected

Victim impersonation

Fraudster attempts to defeat a security mechanism by impersonating a victim with a biometrically matching spoof.

Identity concealment

Fraudster attempts to conceal their identity to avoid detection in biometric searches and eliminate. evidence of their activity.

Attach types detected.
A la carte

Purchase alternatives, with liveness, matching face, video, and voice offered independently.

To truly adopt a zero-trust security approach, the best solution is to integrate biometrics into your access workflows for full confidence in identity verification.

Biometrics a la carte.
Seamless integration

We understand the importance of running a business smoothly. That’s why we’ve become relatively obsessed with perfecting our Preventor Open System Platform.

With a comprehensive SDK and innovative API working alongside our robust, user-friendly UI, we can integrate our solutions to any legacy system.

Seamless integration.

See how it works

Try it now

Get started

Preventor is the next generation self-service digital identity and fraud prevention collaborative platform for individuals, businesses, and governments.
Try it now
The next generation collaborative platform.