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Anti-financial crime

Smart fraud detection with augmented analytics and machine learning for the highest possible fraud accuracy.

Let's verificy your location, mobile

Anti-financial crime

Smart fraud detection with augmented analytics and machine learning for the highest possible fraud accuracy.

Let's verificy your location, mobile

The problem

Highly accurate fraud detection requires a lot of data and high-tech solutions.

Our solution

Based on millions of onboardings and data points, our systems detect fraud at unparalleled rates. Fourthline monitors trends on a cross-border and cross-partner basis without breaching GDPR.

Applications

Enhanced fraud detection, accurate risk scoring, pattern detection, emerging-threats analysis, colluding-criminals detection.

The problem

Highly accurate fraud detection requires a lot of data and high-tech solutions.

Our solution

Based on millions of onboardings and data points, our systems detect fraud at unparalleled rates. Fourthline monitors trends on a cross-border and cross-partner basis without breaching GDPR.

Applications

Enhanced fraud detection, accurate risk scoring, pattern detection, emerging-threats analysis, colluding-criminals detection.

Next-generation fraud detection

Our approach to anti-financial crime is continuous, predictive, and driven by machine learning. We detect and assess financial crime not only at onboarding but throughout the entire lifecycle of a customer.

Having performed millions of KYC onboardings,  Fourthline’s anti-financial crime experts have been trained extensively in signaling risk indicators, identifying patterns, and putting insights into action. 

Proprietary algorithms and augmented analytics result in pattern recognition that informs decisioning and risk scoring, to identify more legitimate customers and detect fraudsters during onboarding and throughout the customer lifecycle.  

State-of-the-art machine learning

In-house proprietary technology with leading-edge machine learning algorithms is built by a team of skilled and dedicated experts. Our facial recognition algorithm is designed to avoid bias and discrimination.

Leverage predictive pattern recognition

By triangulating multidimensional data, we identify indicators of crime and deliver actionable risk insights. We never leave our partners to deal with grey areas.

Always-on fraud detection

Our continuous approach ensures seamless compliance beyond onboarding. Our systems are built to detect and assess financial crime throughout the entire lifecycle of a user.

Next-generation fraud detection

Our approach to anti-financial crime is continuous, predictive, and driven by machine learning. We detect and assess financial crime not only at onboarding but throughout the entire lifecycle of a customer.

Having performed millions of KYC onboardings,  Fourthline’s anti-financial crime experts have been trained extensively in signaling risk indicators, identifying patterns, and putting insights into action. 

Proprietary algorithms and augmented analytics result in pattern recognition that informs decisioning and risk scoring, to identify more legitimate customers and detect fraudsters during onboarding and throughout the customer lifecycle.  

State-of-the-art machine learning

In-house proprietary technology with leading-edge machine learning algorithms is built by a team of skilled and dedicated experts. Our facial recognition algorithm is designed to avoid bias and discrimination.

Leverage predictive pattern recognition

By triangulating multidimensional data, we identify indicators of crime and deliver actionable risk insights. We never leave our partners to deal with grey areas.

Always-on fraud detection

Our continuous approach ensures seamless compliance beyond onboarding. Our systems are built to detect and assess financial crime throughout the entire lifecycle of a user.

AFC during onboarding

ID fraud detection and mitigation

Identity theft detection during verification

Address and geolocation search

Facial Recognition Screening

Country-specific database checks

PEP and sanction list screening

AFC after onboarding

Automated monitoring that checks for suspicious behaviour

AML daily screening

Ongoing trends and risk analysis with our secured data

Continuous PEP and sanction list screening

AFC during onboarding

ID fraud detection and mitigation

Identity theft detection during verification

Address and geolocation search

Facial Recognition Screening

Country-specific database checks

PEP and sanction list screening

AFC after onboarding

Automated monitoring that checks for suspicious behaviour

AML daily screening

Ongoing trends and risk analysis with our secured data

Continuous PEP and sanction list screening

Daily/Weekly/Monthly reporting

Daily / Weekly / Monthly reporting

We provide a variety of different reports on a daily, weekly, or monthly basis, equipping partners with actionable insights. We leave no grey areas and leave virtually no handling time up to our partners. 

Daily/Weekly/Monthly reporting

Daily / Weekly / Monthly reporting

We provide a variety of different reports on a daily, weekly, or monthly basis, equipping partners with actionable insights. We leave no grey areas and leave virtually no handling time up to our partners. 

Solve your AML compliance challenges with Fourthline

99.98 %

Fraud detection accuracy

99.7 %

Completion rates

100 %

Proprietary technology

Solve your AML compliance challenges with Fourthline

99.98 %

Fraud detection accuracy

99.7 %

Completion rates

100 %

Proprietary technology

Want to learn more?

Discover how we can help you solve mission-critical identity challenges in a tailored way.

Want to learn more?

Discover how we can help you solve mission-critical identity challenges in a tailored way.

Fourthline has been certified by EY CertifyPoint to ISO/IEC27001:2022 with certification number 2021-039.

Copyright © 2026 - Fourthline B.V. - All rights reserved.

Fourthline has been certified by EY CertifyPoint to ISO/IEC27001:2022 with certification number 2021-039.

Copyright © 2026 - Fourthline B.V. - All rights reserved.