Preventing online fraud using Behavioral Biometrics
bugFraud guarantees that the user is who claims to be and is not being manipulated throughout the entire online session and in Real-Time.
An User-Centric solution unique to the market
buguroo is the only provider that combines fraud principles to prevent online fraud no matter which fraud Tool & Technique or Process (TTP) is used or in which moment of the online session the fraudster appear, from the onboarding phase until the user log out from the online banking session:
bugFraud guarantees the user is who claims to be
Many companies spend large amounts of money trying to avoid fraudster to compromise their clients data, using phishing techniques, to achieve an account takeover (ATO). Thanks to the highest account takeover detection rate in the market, with less false positives, buguroo is able to identify the user Behavioral Biometrics and differentiate legitimate users from fraudulent ones.
bugFraudprotects the user from being manipulated
Fraudsters usually tries to bypass authentication challenges using several techniques like Remote Access Trojan (RAT), malware, webinjects, form-grabbers and others. bugFraud offers a unique approach, combining techniques of “white” list, “black” list and “grey” list within the anomalies detection and classification engine, preventing fraud before it happens.
HOW IT WORKS?
Deep Learning Fraud Prevention
bugFraud uses Deep Learning algorithms powered by an Artificial Intelligence Neural network to identify fraudsters or bots trying to impersonate legitimate users. Detect suspicious users and prevent attacks from happening.
Behavioral Biometrics
bugFraud gathers Behavioral Biometrics patterns and environment information to prevent fraud from the first login by detecting anomalies in screen pressure, typing speed, mouse or mobile movements, gyroscope position and more. Knowing your customer (KYC) avoids Account Takeover (ATO).
Our anonymized user data technology ensures compliance with cybersecurity industry and data protection standards (PSD2, GDPR,etc..).
New Account Fraud prevention
bugFraud predicts in One-Shot that the cybercriminal is trying to commit fraud during the onboarding phase (NAF) or from first-time login onwards, by recognizing criminal behavior and differentiating those behaviors from other users.
Machine Learning to detect unknownZero-day malware
bugFraud can detect unkown malware campaigns aiming to manipulate the content that the user is watching on their Web browser or Mobile Applications (Web injections, MiTB, RAT, RitB), regardless of whether or not the interaction matches a known malware signature. Our approach goes beyond the known signatures or blacklist, analyzing whether web page navigation has been subverted by fraudsters. bugFraud classifies grey anomalies to avoid false positives and false negatives.
Real-Time Fraud Detection
bugFraud is a flexible next generation solution able to adapt to the evolving landscape of fraud and its constantly morphing threats. Our hybrid engine combines real time anomaly detection with Machine Learning models to ensure your company is protected throughout the entire session, from Onboarding until the user log out, and in real-time against emerging campaigns.
Frictionless: protect without impacting User Experience
bugFraud doesnot require users to install any software intheir devices. This completely transparent system secures banking transactions behind the scenes, without delivering any alerts that might alarm the user. Moreover, customers are protected regardless of the device (PCs, laptops, tablets, or smartphones), OS or browser improving their user experiece.
