Our cutting-edge screening solution provides comprehensive sanctions, PEPs and adverse media screening to address the critical compliance challenges that organizations face. By integrating seamlessly with your existing systems, it minimizes the risk of inadvertent association with high-risk individuals, organizations or entities. Through real-time monitoring and intelligent analysis, we enable our customers to proactively identify and mitigate regulatory risk, protect their reputation and ensure compliance with the ever-evolving regulatory landscape.
400+ requested demos already
Appropriate sanctions, PEPs and negative media screening have become a hot topic and a key challenge for any regulated entity when implementing its compliance process. And having a reliable technical solution in place with accurately updated data sources is the key success element for any organisation to be risk resistant.
Our multi-tiered screening approach combines the best of both worlds. It allows us to evaluate and dismiss pairs of names that would generate false positives in other systems, while maintaining a high level of accuracy on true matches. Our approach to handling data quality issues or typologies of sanctions evasion leads to us being able to alert on true positive matches when most of the rest of the market would fail.
Our system is fast and reliable with built-in self-validation protocols. You can be confident that whatever you are screening against, the solution will only give you the relevant matches to investigate. By ensuring that your team does not have to investigate large numbers of false positives, you enable them to focus on the matches that really matter.
We have built a very flexible, framework-like system that allows you to integrate with any relevant data source provider and control a wide range of variables in tuning the system to your risk profile. Our commitment to continuous improvement and the self-validation protocols built into the system mean that you will never have to worry about falling behind global benchmarks or dealing with excessive levels of false positives.
Protect your organization
Solution uses a multi-modal entity matching algorithm to compare names, geographical references, dates and other distinguishing features against watchlists. A configurable matching algorithm is used to determine the degree of similarity. The algorithm assigns a score to each factor and combines them into a final similarity score. If the final similarity score meets or exceeds the set threshold, a match to a watchlist entry is created.
We provide an out-of-the-box configuration that works well for the majority of use cases, but the name matching algorithm can be tuned according to the customer’s risk appetite and compliance requirements. Over 40 parameters are available for tuning to achieve the best results in a specific application scenario.
The dataset provider is responsible for providing accurate and up-to-date watchlists for screening. Our responsibilities include using the latest version of the dataset available from the provider, checking against the source dataset to ensure accuracy, auditing list updates to know when a particular watchlist has been updated, and performing watchlist screening to identify matches against the provider’s watchlist.
We do not directly monitor official sanctions lists, such as OFAC’s SDN list or the EU’s Consolidated Sanctions List. We rely on watch list data set providers to provide up-to-date lists for screening. Most providers commit to updating their lists within hours of official list updates. The exact service level agreement will vary depending on the dataset provider you choose.
Our watchlist dataset is usually updated immediately after the provider updates their list. The exact schedule or trigger for initiating a list update will vary depending on the chosen provider and client requirements.
In most implementations, our solution will periodically check for updates to the source dataset and update its watchlist dataset accordingly. Some vendors may also provide a trigger mechanism to notify the target system of list updates immediately after the update has been made.
As part of our Transaction Monitoring solution, we can provide list-based monitoring that can be applied to keywords associated with sectoral sanctions or dual-use items. This includes rules that support common text comparison and normalization methods, logical filters and other forms of rule-based monitoring. It allows you to target specific payment corridors and combine keyword matching with aggregate calculations based on transaction data.
Our screening solution enables you to check your customer or transaction data for sanctions, PEP and negative media matches. However, our screening solution does not include high-risk country-based monitoring. If you require this functionality, you can use our Transaction Monitoring and AML Risk Assessment solutions. These have a comprehensive set of high-risk country risk monitoring rules to help you identify and manage potential threats.