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.

The Preventor biometric authentication framework offers high-performance, field-proven face and video liveness detection, and voice recognition.

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.

Authenticate and detect counterfeit

8.8K

Government issued-Id's

200

Countries covered

80+

Languages supported

Reading
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MRZ reading:

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

Barcode reading:

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

Document type identification:

  • Automatically determine document-issuing country, type, and series
Verification
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OCR:

  • Extract data from any identity document. Extract text data from anywhere automatically

Data verification:

  • Cross check and verify all data read from the document and perform lexical analysis
Authentication
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Identity document authentication:

  • Check visible security features in an ID document to verify its validity and genuinity

Electronic document authentication:

  • 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
  • Detect security features visible in UV light within an ID document

Authenticate and detect counterfeit of:

8.8K

Government issued-Id's

200

Countries covered

80+

Languages supported

Reading
Icon more

MRZ reading:

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

Barcode reading:

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

Document type identification:

  • Automatically determine document-issuing country, type, and series
Verification
Icon more

OCR:

  • Extract data from any identity document. Extract text data from anywhere automatically

Data verification

  • Cross check and verify all data read from the document and perform lexical analysis
Authentication
Icon more

Identity document authentication:

  • Check visible security features in an ID document to verify its validity and genuinity

Electronic document authentication:

  • 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
  • Detect security features visible in UV light within an ID document
Get in touch

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.

Authenticate and detect counterfeit of:

8.8K

Government issued-Id's

200

Countries covered

80+

Languages supported

Reading
Icon more

MRZ reading:

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

Barcode reading:

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

Document type identification:

  • Automatically determine document-issuing country, type, and series
Verification
Icon more

OCR:

  • Extract data from any identity document. Extract text data from anywhere automatically

Data verification

  • Cross check and verify all data read from the document and perform lexical analysis
Authentication
Icon more

Identity document authentication:

  • Check visible security features in an ID document to verify its validity and genuinity

Electronic document authentication:

  • 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
  • Detect security features visible in UV light within an ID document
Get in touch

Biometrics face recognition 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 solutions.

Features
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  • Get accurate and smart face identification.
  • Continuous identification and learning through algorithms and workflows.
  • Facial recognition detects if it's not a real person and avoids deception through artificial intelligence.
  • The user can be asked to turn the head at a certain angle and verify the action with a challenge response.
  • Reliable anti-spoofing against biometric fraud.
  • Presentation attack detection (PAD).
  • Complete biometric anti-spoof algorithms.

Verify identity data

Preventor can quickly scan a document and capture the identification data, automatically populating forms, customer management software, etc. The information is not stored on the device, so there are no concerns about data security.

Our tool will help your company streamline client interactions and reduce manual data entry errors.

Global risk screening

Many businesses need solutions that protect them against fraud and help them comply with regulatory mandates, including screening against sanctions lists and conducting customer due diligence.

Our compliance platform allows you to assess the potential risks associated with your clients by screening against:

  • OFAC and other sanctions lists
  • Politically exposed persons (PEPs)
  • Adverse media
  • Sanctions ownership research (SOR)
  • Special interest persons (SIPs)
  • Criminal categories and corruption
  • Close associates and family members related to people in other risk categories
  • State owned companies
  • Trade finance surveillance
More information
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Identity authentication

The Preventor mobile biometric authentication framework offers high-performance, field-proven face and video liveness detection, with a family of machine learning-based algorithms DCNNs (deep convolutional neutral networks), that detect and prevent virtually all types of biometric presentation attacks.

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.

Features
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  • Liveness detection algorithms and workflows optimized for onboarding, mobile authentication, document verification, and risk-based solutions.
  • Purely passive, machine learning-based approach, with no user friction.
  • Opaque user experience that avoids training fraudsters how to defeat it.
  • Detection of digital photos and videos, paper photos and masks, high-quality 3D masks, partial obstructions and distortions, low-light and bright-light conditions, and wide range of face types.

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.

Features
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  • 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.
  • Voice recognition can be combined with face and eye recognition according to customer preference and desired level of security.
  • Detection of recorded voice, modulated voice, filtered voice, and synthetic voice.

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.

How it works?
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The system compares two templates – one from the probe image and one from the enrollment database to find a potential match.

A match score is generated for each pair of templates, indicating how similar the two images are.

A match threshold compares with the match score to consider similar enough to be a potential match.

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.

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.

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.

See how it works

Request a demo

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