Remediator.net - Introduction скачать в хорошем качестве

Remediator.net - Introduction

AML, CTF and ABAC compliance regulations are becoming increasingly burdensome, not only for banks and financial institutions but for compliance officers across much of industry. Specifically, carrying out KYC and due diligence screening more frequently and the sea of alerts this generates has created a huge problem to effectively remediate in a cost-effective but risk-averse way. The parallel problem of discounting “False Alerts” whilst simultaneously recognising “True Alerts” is difficult, time-consuming, and often comes down to a subjective human decision. Most organisations either carry out the alert discounting process manually at a high cost or will use “AI tools” to automatically discount as many alerts as possible based on the available data. This still remains a challenging problem, as either manually or automatically, the data available to make such an important decision is often limited. Sometimes an adverse media alert may only be a partial name match. Remediator.net brings the unique dynamic of “name commonality” to alert remediation, enabling an objective, accurate and defensible decision to be made about any alert. Knowing how many people have the same name as your screening subject gives you the key data point that when applied to other matching alert data enables you to make a decision that previous approaches will get wrong For example, if you know that a serious alert is for the same name in the same city as your subject you may send for further remediation effort as a potential "True Positive", however, if you know there are 3500+ people with that same name in that city you may change the decision to discount it as a likely False Positive. The same holds for an alert for the same name in a different country which would normally be discounted, however, if you know there are no people with that name in the alert country and only 8 in the subject's country you would pass on for further remediation effort. Overall Remediator.net will accurately discount +90% of all false positives but identify the real risk of a true positive. This saves money whilst reducing overall risk.