About buguroo

buguroo is a cloud-based fraud prevention platform for online banking that helps businesses meet PSD2 and GDPR compliance. This solution provides customer enrollment protection, session protection, real-time detection, and fraudster identification tools for banks and fintech businesses. Fraud detection can be performed across different channels, content, geolocations, and devices. buguroo uses behavioral biometrics—that measure user gestures, rhythms, and movements—to detect anomalies. It can detect whether sessions are being managed by humans, robots, or identify theft attackers.

buguroo uses bugFraud technology to verify a user’s identity in real-time. It protects users from being attacked by numerous fraud techniques, such as malware, web...


Read More

Supported Operating System(s):

Web browser (OS agnostic)

3 Reviews of buguroo

Overall rating

4.67 / 5 stars

Filter reviews by:

Sort by: Most Helpful | Most Recent

Showing 1 - 3 of 3 results

Do you use this product?Write a review

August 2020

Anonymous

Verified Reviewer

Company Size: 501-1,000 employees

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

4.0

Value for money

5.0

Customer support

5.0

Functionality

5.0

August 2020

Project Delivery

Pros

I supported one of our clients implementing the product, running a small team to perform its integration to complement the current inhouse AML and Cyber platforms. We helped the client select this product during RFP and specifically it was chosen due to its unique features with ATO and behavioural metrics

Cons

Nothing in particular, data of course is generally the pinch point - however, we performed the integration with full support from Buguroo thus ensuring success and a timely delivery

Reasons for Choosing buguroo

As mentioned above, due its strength (and ease of use) around behavioural and multi channel protection coupled with the deep learning aspects to enhance the anomaly detection within these channels. These elements and its price point helped us advise the clients as to which product better suited their requirements

August 2020

Gareth from Sionic

Company Size: 501-1,000 employees

Industry: Financial Services

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

5.0

Value for money

5.0

Customer support

5.0

Functionality

5.0

August 2020

Excellent Solution

excellent company, very good solution.

Pros

Very user friendly, quick to value, very accurate.

Cons

the solution delivered as expected without any major issues

August 2020

Anonymous

Verified Reviewer

Company Size: 10,000+ employees

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

5.0

Customer support

5.0

Functionality

4.0

August 2020

BugFraud is a high-performance fraud solution to prevent online banking fraud

We use the alerts to improve the rules including the biometric user profile, and the environment. It permits us to detect delicate users who could be victims of fraud. Furthermore, with the use of Fraudster Hunter, we've found devices and users related with a case of fraud which our controls hadn't detected.

Pros

BugFraud is an expert solution to prevent online banking fraud as detect all fraud use cases, including unknown malware. It creates a unique profile for each user by gathering thousands of parameters relating to their behavioral biometric, environmental and device information. The solution uses deep learning to analyze anomalies and to detect fraudulent threats involving identity theft or customer manipulation across the entire banking session, and therefore detecting malware on the device. The way we have integrated the product is transparent for the users and enhance their customer experience. Information is available via API and a web management console to receive alerts and risk score per session in real time. The GUI has a lot of information about the sessions and all the alerts that it'd had. Buguroo is continuously evolving and releasing improvements that make the product and the detection of anomalies and fraudster behaviors more accurate.

Cons

The product needs to be fine-tuned and customized for our needs before it reaches its higher fraud detection rate and lower F/P Ratio. Also the retention period should be increased, thus it has lead to some late detection, as alerts can only be consulted via GUI.