with a better browsing experience; allow us to assess, monitor, and improve the website’s
performance; and enable our partners to advertise to you. You may disable the cookies by changing
the settings in your browser, and you may tell us not to share your cookie data with third parties.
Siron® KYC is an end-to-end solution for managing KYC compliance throughout the customer relationship life cycle. It supports the risk classification process of new and existing customers, including audit-proof documentation. Siron® KYC utilizes third-party databases with ready-to-use interfaces to match customer information with sanction and watch lists, and to automatically identify beneficial owners and politically exposed persons (PEPs).
Faster customer on-boarding and superior data
Reduces the time of performing customer due diligence during on-boarding through real-time KYC checks and customer data improvements.
Quickly addresses regulation changes
Build-up institute-specific KYC questionnaires with an user-friendly interface and classify customer risk through easily adaptable rules and configuration capabilities.
Access to the latest customer risks
Automates customer risk reclassification by auto-checking for PEP and sanctions, and continuously monitoring KYC information against real customer behavior.
Siron® KYC supports enterprises through the critical onboarding process by identifying who is their customer and what is the customer’s level of money-laundering or terrorists financing risk. Easily adaptable Know Your Customer questionnaires are customized with necessary statutory requirements and industry standards to automatically determine the risk rating of potential customers.
Flexible integration for existing customers onboarding processes.
Compliance with statutory customer due diligence for risk-based customer acceptance.
Designed to create and maintain dynamic Know Your Customer questionnaires.
Matches customer information with sanction and watch lists to identify criminals, and with PEP databases in order to comply with enhanced customer due diligence for PEPs.
Automatically retrieves beneficial ownership.
Real-time risk classification through default and customizable rules.
Interfaces with research systems (e.g. Siron® AML) to detect deviations from the initial "intentional" description and the actual behavior of the customer.
Standardizes data from the core banking system to verify existing customers.
The previous white paper in this series, Open Banking: Multi- Layered Self-Calibrating (MLSC) models, discussed the use of self-calibrating/semi-supervised machine learning (ML) models for open banking. Regardless of the ML approach, monit...
In an always on, digital environment, those involved in preventing financial crime are sometimes seen as an impediment to providing a smooth customer journey. Security and financial crime checks are vital to protect both customers and the ...
To prevent financial crime and terrorist financing, organizations of all types have joined the global fight to stop criminals from realizing the financial benefits of their crimes. Compliance with regulatory obligations for anti-money laun...
Artificial intelligence (AI) and machine learning are big buzzwords at present — there doesn’t seem to be a business problem where they are not being applied. Now AI has come to the world of anti–money laundering compliance.
More firms ...