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Siron® AML is an advanced analytics solution to detect money laundering. It monitors customers, accounts and transactions with pinpoint accuracy for suspicious activity. Comprehensive investigation, visualization and case management functionalities allow to fully analyze alerts and support the decision process from invalidating a suspicion to electronic filing of suspicious activity reports (SAR) to the authorities. This proven end-to-end transaction monitoring solution helps AML officers to easily keep up with new threats and comply with ever-growing regulatory requirements in a cost-effective way.
Siron® standard research products are preconfigured for local requirements and include AML best practices gleaned from 1200+ customers around the world. This accelerates time-to-value and guarantees short implementation periods.
Adaptable to regulatory changes
Designed as a business solution that can be fully operated and maintained by the anti-money laundering department, allowing the user to configure any detection scenario via UI without any programming or IT-knowledge.
AML powered by machine learning
Reduces false positives while identifying new money laundering instances with the help of advanced analytics powered by data-driven machine learning algorithms and patented artificial intelligence IP.
By recording individual and group behavior over time, Siron® AML creates dynamic profiles and statistics based on customer, account and transaction data. The transaction monitoring system immediately detects changes in customer behavior and deviations from peer group behavior. Also, the system continuously classifies customers according to the risks they pose. This dynamic profiling is the basis for the automated application of appropriate customer due diligence according to the risk based approach recommended by international regulations.
Graphical rule editor to adjust the risk-based anti-money laundering strategy.
Due diligence functionality through custom thresholds for risk categories.
Intuitive alert processing and case management.
Predefined business rules to comply with the minimal statutory anti-money laundering requirements.
Workflow for suspicious activity reporting (SAR) in country-specific formats.
Link analysis to visualize payment flows and money-laundering networks.
Collaborative profiling, behavior-sorted lists and self-calibrating outlier detection algorithms to understand customer behavior shifts in real time.
The comprehensive survey was conducted in May 2020 and covered 256 respondents from Australia, Hong Kong, Indonesia, Malaysia, New Zealand, Philippines, Singapore, South Korea, Taiwan, Thailand and Vietnam. The survey respondents were seni...
High-profile money laundering cases and instances of non-compliance— spanning banking, casinos, clubs, and the property market—have put AML approaches and technologies under scrutiny. And with highly adaptive criminals, new ways and channe...
Consumers and businesses are moving their financial lives online, but digital onboarding is hampered by regulations. Compliance with money laundering legislation and security guidelines requires the contributions of many parts of a busines...
Cost-cutting measures continue to put more pressure on bank resources to do more with less. A greater level of competition — not only from traditional players but also from fintechs — and heightened expectations from consumers, as well as ...