Crypto AML : Read the White Paper “Off to New Financial Crime Worlds: The Crypto Challenge”
DownloadTo combat financial crime more effectively and prevent financial harm, fines, and reputational damages, financial institutions are looking for a more proactive approach to uncover illicit behavior. Rightly so, because the global financial system has accelerated tremendously over the last decade. So has financial crime.
Consumers globally are embracing real-time and instant payments. Real-time payments are projected to grow by 30% annually until 2030. Taking a comprehensive risk-based approach to enable real-time detection is the best solution, but it is also demanding and challenging.
The increasing volume and speed of transactions have made it easier for criminals to exploit financial systems. Managing the risks of money laundering and terrorist financing as they occur and future-proofing against new risks are challenging, labor-intensive, and error-prone tasks.
Operating a 24/7 real-time compliance system is challenging. Legacy systems are not equipped to handle the contextual information required for real-time monitoring. It’s difficult to get the context for quick, informed decisions without integrating inputs from all necessary solutions and centralizing data from different systems.
Monitoring real-time transactions, addressing alerts, and sending reports are resource-intensive, time-consuming, and costly. At the same time, the lack of accurate alert prioritization or hibernation only adds to the compliance work bottleneck.
Detecting new patterns to identify emerging AML and fraud requires constant monitoring, analyzing, and reporting, which are not only near impossible manually but also wasteful and risky.
Siron®One tackles real-time financial crime detection by integrating data sources, breaking down silos, and providing contextual insights for better decision-making. It combines dynamic risk scoring with a risk-based transaction monitoring approach, using advanced analytics to efficiently prioritize and manage alerts.
Siron®One’s Intelligent Data Management system breaks down data silos, captures and integrates data from static/KYC and dynamic sources like transaction history, risk scores, adverse media and PEP and sanctions lists, to provide contextual data for better understanding and decision-making.
Siron®One combines external and internal data, enriched with KYC data and behavioral analytics, to instantly generate a comprehensive and accurate risk rating, enabling efficient alert qualification.
Siron®One utilizes entity behavioral clustering, entity deviation score, alert predictive score, intelligent name screening, and economic network analytics to determine which transactions require real-time monitoring and which can be reviewed post-execution.
Siron®One enables you to define and edit business rules based on requirements, set thresholds, and automate alert actions based on risk scores. It prioritizes alerts or hibernates them from real-time monitoring based on pre-defined risk factors.
With a highly configurable workflow module, Siron®One facilitates collaborative case management and investigation.