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Buguroo Behavioural Biometrics for 3D Secure

buguroo fraud detection collects biometric data from the customer at the point the OTP is entered along with an additional short text string in order to conduct the analysis. This analysis provides a unique approach to identifying customers from fraudsters by the way they enter text.

By applying deep learning technology to analyze this data a user can quickly be identified as a customer or a fraudster. The resulting assessment is then reviewed by the card issuer to approve or deny the transaction.

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AdvanceD Customer Behavior analysis against New Account Fraud (NAF)

New Account Fraud (NAF), also known as Account Opening Fraud or Online Account Origination Fraud, is when fraudsters use stolen or synthetic identities to open new bank accounts, with a view to maxing out their credit limits before disappearing into thin air, usually within 90 days.

NAF is a current and priority problem for banks today because it is hard to stop. The following datasheet briefly details:

  • How buguroo is reinventing the way to deal with NAF problem
  • How it works and the technologies used
  • Benefits of a safe banking onboarding
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BUGFRAUD FRAUDSTER HUNTER: INVESTIGATE, DETECT AND PREVENT FRAUDSTERS

More than 30% of online banking fraud comes from apparently legitimate customer accounts that are really under the control of fraudsters. At the same time, current fraud prevention solutions focus on preventing fraud by detecting the attack instead of the attacker so they are ineffective in tackling this threat.

The Fraudster Hunter tool, included in the bugFraud solution, has been designed to address this need that is impacting online banking channels. The following datasheet tells you:

  • All about the bugFaud Fraudster Hunter tool
  • How it works and the technology it uses
  • The applications and benefits of the tool
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How does bugFraud fight online banking fraud?

The present digital transformation in Banking sector is promoting a high development of new attack tactics and methods with increasingly sophistication and speed of execution. bugFraud is an effective solution able to identify these attacks through a different approach based on the latest Behavioral biometrics and Deep Learning Artificial Intelligence technologies.

Here you will find:

  • How does bugFraud protect your customer's banking transactions over the entire course of their sessions in real-time?
  • Which are the most common methods and tactics used in banking fraud attacks?
  • How buguroo can effectively help you to avoid fraud caused in all digital channels (Web, Mobile app, etc.) deployed for your customers' banking transactions? 
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Behavioral Biometrics to protect your Mobile banking channel

Mobile banking has come to stay and cybercriminals know it. Mobile banking usage has grown exponentially in recent years and its transactions account for 73% of all of today’s fraudulent activities. bugFraud Mobile protects your mobile banking channel from the most sophisticated User Impersonation or Mobile Malware attacks in your Mobile banking channel by means of the latest Behavioral Biometrics technologies.

Here you will find details about:

  • How bugFraud Mobile works.
  • Which key features and benefits make bugFraud Mobile the most powerful solution in the marketplace to protect you mobile banking channel from fraud.