The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. KYC3 ERMS Digital dossier management Real-time video onboarding AI powered ID analysis Automated risk screening engine Secure and customizable, on-premise. The cookies is used to store the user consent for the cookies in the category "Necessary". This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Models can also automatically be published when they meet a given performance threshold.Necessary cookies are absolutely essential for the website to function properly. Automated training, adaption and updating of the models can take place over specified rolling time window. Our module provides testing, audit and tracking of changes, with contributing features being displayed to the investigator along with the score to provide model transparency compliance. The module provides access to a growing list of machine learning algorithms which have proven effective in even the most challenging detection assignments. Patterns of behaviour are automatically fed back to the machine to automate model training, thus ensuring continual adaptation and protection to evolving patterns. Our machine learning module is integrated with the compliance investigator case management. Access millions of profiles that are constantly updated and sourced via our artificial intelligence engine. This provides our customers with optimal detection and alert volumes based upon the organisation risk appetite and resources. GBG deliver machine learning via an open, user-controlled interface which enables both business users and expert users to, train and throttle the score threshold. Customer service Make it easier for your customers and employees to quickly resolve service requests through intelligent automation. We also provide the ability to design and manage custom models, giving a framework for customers that already have dedicated machine learning teams and capabilities.Ĭustom model creation can import open source libraries for future proofing and provide a notebook for further model analysis and direct Python coding. Onboarding & KYC Take an automated approach to due diligence to speed up onboarding, simplify customer experiences, and mitigate risk. Unsupervised learning can also be used to provide anomaly detection and identify and underlying patterns and inconsistencies, without the need for confirmed cases. Supervised Machine learning can be used to provide a mechanism to learn from confirmed cases. GBG can offer a number of different model types and customers can use a combination of these to suit a wide variety of use cases. Model Predictions complement the existing fraud rules, adding a risk-rating mechanism as well as detecting new fraud.įraud Rules are still a valuable tool as they provide a clear avenue of investigation for fraud reviewers. Machine learning has many use cases, but broadly speaking they are used to either make predictions or for model optimization (Automated re-training). GBG provides sophisticated Machine Learning models to optimise rules management, assess risk and enhance fraud detection.
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