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Home > Solutions > Biometric Anti-fraud Engine

Anticipate fraud before it happens.

Avoid adding unwanted or duplicate customers. Scan your client database in few seconds.

Identity fraud is becoming increasingly prevalent in the digital world. It is vital for the security of companies and their users to adopt measures to detect these attacks and threats.

Our fraud detection software is capable of detecting duplicate identities within your database, discovering fraud cases and preventing new attempts.

New opportunities. Broader risks.

Assisted digital onboarding (at the office)

Combining a manual review with the right digital onboarding tools enables the most effective fraud detection.

Remote digital onboarding 

Implementing certified digital onboarding tools, which guarantee high levels of assurance on any platform, makes it possible to detect the majority of fraud.

Manual onboarding (at the office)

Delegating fraud detection to purely manual review is proven highly ineffective in fraud prevention since A.I.-based systems are far more accurate

Database scanning: Identities Cluster

Grouping identities based on their physical resemblance without certified artificial intelligence systems is an impossible task

Ease of fraud detection

Moderate

Difficult

Very difficult

Fighting fraud is not expensive.
Suffering it is. A lot.

Prevent economic
loss

Reduce economic losses due to fraud and, consequently, decrease capital consumption due to operational risk

Avoid economic sanctions

Avoids the risk of sanctions in terms of Money Laundering Prevention and from data protection agencies for not taking measures to prevent identity theft

Keep criminals
away

Discourages criminals from having the company among their preferred targets, diverting criminal activities to other entities

One solution.
Two use cases.

IDENTIFICATION

Hello customers. Goodbye fraudsters.

With our fraud prevention software you can detect fraudulent attempts before they enter your database.

During the registration process, check that the user is not already in your customer database or in any unwanted list.

> Robustness to physical change, the course of time and environmental conditions

> Robustness to different angles and partial views of the face

> Robustness to a variety of ethnicities & backgrounds (prevention of racial bias)

CLUSTERIZATION

Prevent duplicate or unwanted identities.

Our technology allows you to group identities with high similarity to find duplicate identities in a database with an accuracy of 97.6%.

That way, you will know if someone has registered multiple times with a false identity in your database.

> Robustness to physical change, the course of time and environmental conditions

> Robustness to different angles and partial views of the face

> Robustness to a variety of ethnicities & backgrounds (prevention of racial bias)

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