Remove Best Practices Remove SARS Remove Suspicious Activity Report (SAR)
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UK's Financial Intelligence Unit publishes latest guide on SAR submissions

The Paypers

The UK’s Financial Intelligence Unit (UKFIU) has published its guide on how suspicious activity report (SAR) intelligence is being used by law enforcement, aiming to demonstrate SAR filing best practices.

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Cracking the Code of White-Collar Crime with Sumsub

Fintech News

Sumsub equips industry professionals with the necessary tools to stay ahead by providing access to the latest best practices in transaction monitoring. Platforms like Sumsub are crucial in bridging this knowledge gap.

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How to Maintain Anti-Money Laundering Compliance as a PayFac

Stax

An effective AML compliance program must include Know Your Customer (KYC) protocols, transaction monitoring and reporting, risk assessment and categorization, and training and awareness for staff. It mandates ongoing monitoring of suspicious activity, recordkeeping, and submitting suspicious activity reports (SARs) to the government.

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Stopping Financial Crime in Australia

FICO

In addition to watching for the best practices of the first movers converging the fraud and AML parts of the business, they will also need to adopt the best of new breed of technologies that have been developed to work across fraud and financial crime. 3) Move on from outdated rules-based anti-money laundering systems.

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High-Risk Source of Application: How to Detect and Manage Them

Seon

We discuss what to look out for and share some best practices to help businesses stay alert. Make sure those you proceed with are filed in a suspicious activity report (SAR), which notifies government agencies of potential money launderering. What Does High-Risk Source of Application Mean?

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New Frontiers in Using AI to Fight Fraud and Money Laundering

FICO

38% of AML professionals report concern over the level of suspicious activity reports (SARs) that they are filing defensively , which significantly increases workload. In particular, AML compliance professionals can learn from their counterparts in fraud about the use of AI and machine learning.