Fight fraud with Caf

Combine accurate identity validation technologies to identify fraudulent users, even those using sophisticated attacks. Add or remove items from the flow according to the need and the risks involved, whether in onboarding or authenticating users already on board.
Prevent fraud
Best-in-class fraud prevention

Combine facematch, facial biometrics and the finest document verification to accurately detect and stop fraud attempts early in their tracks.

Regulatory compliance

Verify users, protect your business, and comply with evolving regulations.

Business growth

Speed up good user acceptance rate to stop fraud and increase revenues.

Fight fraud without adding friction

Sometimes, solutions and methods used to stop fraud add too much friction to good users. This is bad for business growth and a company’s reputation.

The Caf platform enables businesses to accurately identity potentially fraudulent users and stop them from accessing their site, while giving good users the seamless and quick onboarding and authentication experience they desire.

Customize identity

CAF Know Your Everything Platform

A single platform to orchestrate all the necessary technologies in your onboarding flow with identity validation, managing new and old users, and making more assertive decisions regarding risks and monitoring results.

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Caf advantages

Tap into Caf’s proven expertise to reduce friction, grow your business and maintain customer trust

Machine learning and
computer vision

Continuously improved AI algorithms and ML models that offer the flexibility to create custom rules for risk assessment and automatic approval/rejection.

Machine learning andcomputer vision
Unmatched identity verification

Unmatched identity verification

Verify multiple parameters to quickly unearth the truth about a user

No-code design workflow

No-code design workflow

A drag-and-drop, no-code orchestration platform to optimize and build comprehensive, fully customized user onboarding experiences.

Business expansion

Business expansion

More conversions, faster onboarding, improved user experience, while meeting compliance obligations.

Simple, user-friendly processes

Simple, user-friendly processes

Workflows that make user verification easier and increase conversions.

How it works

Automate fraud prevention to reduce manual reviews and enhance end-user experience with these steps:

STEP 1 OF 9

Document capture

Intelligent document capture using computer vision technologies

STEP 2 OF 9

Data extraction

Accurate capture of data using OCR

STEP 3 OF 9

Data validation

Authenticate the captured data by querying relevant databases

Validation of data
STEP 4 OF 9

Proof of life

Check whether a malicious user is stealing a deceased person’s identity

STEP 5 OF 9

Facematch

Check for authenticity of the photo submitted by the user.

STEP 6 OF 9

Facial biometrics

Check for a matching fraudulent identity from a biometric source to check if the user is fraudulent

STEP 7 OF 9

Document verification

Verify user-submitted documents using a combination of AI and human expertise

Verification by Document
STEP 8 OF 9

Ready-to-use structured data

Use the insights to determine risk assessment of the user.

STEP 9 OF 9

Indication of fraud

Decide whether a user is genuine or fake to approve or reject the user accordingly.

STEP 1 OF 9
Document capture
Intelligent document capture using computer vision technologies
STEP 2 OF 9
Data extraction
Accurate capture of data using OCR
STEP 3 OF 9
Data validation
Authenticate the captured data by querying relevant databases
Validation of data
STEP 4 OF 9
Proof of life
Check whether a malicious user is stealing a deceased person’s identity
STEP 5 OF 9
Facematch
Check for authenticity of the photo submitted by the user.
STEP 6 OF 9
Facial biometrics
Check for a matching fraudulent identity from a biometric source to check if the user is fraudulent
STEP 7 OF 9
Document verification
Verify user-submitted documents using a combination of AI and human expertise
Verification by Document
STEP 8 OF 9
Ready-to-use structured data
Use the insights to determine risk assessment of the user.
STEP 9 OF 9
Indication of fraud
Decide whether a user is genuine or fake to approve or reject the user, accordingly.
CASE STUDY
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Read full case study

Improve approval rates without increasing the risk of accepting fraudsters into your onboarding

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User Onboarding

Secure and seamless onboarding for users
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ID Document Verification

Enhanced identity verification
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ID Verification - KYC

Know your consumer in a few clicks
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Business Verification - KYB

Automate the KYB process in your company
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Account Takeover Prevention

Protect real users from account theft
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