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Stop fraudsters before they attack you

Fraud screening similar to Sanctions screening.

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Stop fraudsters before they attack you

Fraud screening similar to Sanctions screening.

Talk to us

Stop fraudsters before they attack you

Fraud screening similar to Sanctions screening.

Talk to us

Are you reacting to fraud? Are you limited to the fraud that you see within your ecosystem?

The clients we talked to have a very small fraud sample to train the machine learning models.

Fraudsters are leveraging the latest technologies, like generative AI, to exploit gaps, especially in Fintechs.

You always need to be on your toes to react fast to an ongoing fraud.

You rely only on your internal data to fight fraud.

Are you reacting to fraud? Are you limited to the fraud that you see within your ecosystem?

The clients we talked to have a very small fraud sample to train the machine learning models.

Fraudsters are leveraging the latest technologies, like generative AI, to exploit gaps, especially in Fintechs.

You always need to be on your toes to react fast to an ongoing fraud.

You rely only on your internal data to fight fraud.

Are you reacting to fraud? Are you limited to the fraud that you see within your ecosystem?

The clients we talked to have a very small fraud sample to train the machine learning models.

Fraudsters are leveraging the latest technologies, like generative AI, to exploit gaps, especially in Fintechs.

You always need to be on your toes to react fast to an ongoing fraud.

You rely only on your internal data to fight fraud.

Most fraud solutions focus on the behavior of the fraudster and not the fraudster themselves

Standard typologies and rules are deployed, leading to significant false-positives

Significant false positives and no proactive way to detect false negatives.

Fraud monitoring solutions need integration into internal data and are time consuming to deploy.

Clearing each fraud alert feels unique and takes time to arrive at a conclusion.

Consumers reported losing more than $8.8 billion to fraud in 2022

Consumers reported losing more than $8.8 billion to fraud in 2022

Consumers reported losing more than $8.8 billion to fraud in 2022

Stop fraudsters with our shared Face Negative list

We combine the power of face recognition + privacy + shared fraudster face data to deliver a highly effective fraud screening solution. Read the blog post about our fraud data collation and sharing framework.

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Stop fraudsters with our shared Face Negative list

We combine the power of face recognition + privacy + shared fraudster face data to deliver a highly effective fraud screening solution. Read the blog post about our fraud data collation and sharing framework.

Talk to us

Stop fraudsters with our shared Face Negative list

We combine the power of face recognition + privacy + shared fraudster face data to deliver a highly effective fraud screening solution. Read the blog post about our fraud data collation and sharing framework.

Talk to us

Step 1

Query our Fraud Screening API with a customer's face or upload it to our portal

Identify the person authorizing the account creation or authorizing a transaction with facial biometrics. Use these facial biometrics to call our API.

We protect your PII data with our proprietary Privacy Enhancing Technology (PET). Read more about this in our blog post.

If you don't capture faces during onboarding or transaction, we suggest implementing face biometric solutions to leverage our solution. Read this blog post about the best solutions in the market.

Step 1

Query our Fraud Screening API with a customer's face or upload it to our portal

Identify the person authorizing the account creation or authorizing a transaction with facial biometrics. Use these facial biometrics to call our API.

We protect your PII data with our proprietary Privacy Enhancing Technology (PET). Read more about this in our blog post.

If you don't capture faces during onboarding or transaction, we suggest implementing face biometric solutions to leverage our solution. Read this blog post about the best solutions in the market.

Step 1

Query our Fraud Screening API with a customer's face or upload it to our portal

Identify the person authorizing the account creation or authorizing a transaction with facial biometrics. Use these facial biometrics to call our API.

We protect your PII data with our proprietary Privacy Enhancing Technology (PET). Read more about this in our blog post.

If you don't capture faces during onboarding or transaction, we suggest implementing face biometric solutions to leverage our solution. Read this blog post about the best solutions in the market.

Step 2

Our results highlight if the queried person is a fraudster

We work with you to stop highly motivated individuals globally from committing fraud. While typologies, technology and modus operandi changes rapidly, the individuals behind them remain relatively same.

Fraud face data is collated by our fraud investigators and hashed fraud face data shared by other financial institutions. We have over 1,000 fraudster face data. We continue to add more every week. We encourage you to share your hashed internal fraud face data to help others fight fraud.

Face matching technology is very mature. Read our blog post for more details.

Step 2

Our results highlight if the queried person is a fraudster

We work with you to stop highly motivated individuals globally from committing fraud. While typologies, technology and modus operandi changes rapidly, the individuals behind them remain relatively same.

Fraud face data is collated by our fraud investigators and hashed fraud face data shared by other financial institutions. We have over 1,000 fraudster face data. We continue to add more every week. We encourage you to share your hashed internal fraud face data to help others fight fraud.

Face matching technology is very mature. Read our blog post for more details.

Step 2

Our results highlight if the queried person is a fraudster

We work with you to stop highly motivated individuals globally from committing fraud. While typologies, technology and modus operandi changes rapidly, the individuals behind them remain relatively same.

Fraud face data is collated by our fraud investigators and hashed fraud face data shared by other financial institutions. We have over 1,000 fraudster face data. We continue to add more every week. We encourage you to share your hashed internal fraud face data to help others fight fraud.

Face matching technology is very mature. Read our blog post for more details.

Fintechs have identified many dormant fraudsters in their database. When will you?

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Fintechs have identified many dormant fraudsters in their database. When will you?

Talk to us

Fintechs have identified many dormant fraudsters in their database. When will you?

Talk to us

Talk to us

Why Regulo

Trusted by organization across the world, Regulo's AI driven, privacy enhancing facial datasets help organizations prevent fraud and comply to regulations efficiently.

Talk to us

Why Regulo

Trusted by organization across the world, Regulo's AI driven, privacy enhancing facial datasets help organizations prevent fraud and comply to regulations efficiently.

Talk to us

Why Regulo

Trusted by organization across the world, Regulo's AI driven, privacy enhancing facial datasets help organizations prevent fraud and comply to regulations efficiently.

A better way to fight financial crime and compliance

© 2023 Regulo, Inc all rights reserved

A better way to fight financial crime and compliance

© 2023 Regulo, Inc all rights reserved

A better way to fight financial crime and compliance

© 2023 Regulo, Inc all rights reserved