Anti-money laundering
PulseAugur coverage of Anti-money laundering — every cluster mentioning Anti-money laundering across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New identity assurance model proposed for entities across jurisdictions
A new design-science proposal introduces a tiered and reusable model for identity assurance across natural, juridical, and machine entities, aiming to address limitations in current systems. This model separates identit…
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New framework aids anti-money laundering investigations with clue-guided discovery
Researchers have developed a new framework called Clue2Group to aid in anti-money laundering investigations. This framework addresses the limitations of existing methods by allowing analysts to start with a specific clu…
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New TransXion benchmark enhances realism for anti-money laundering AI
Researchers have introduced TransXion, a new benchmark dataset designed to improve the realism and effectiveness of machine learning models for anti-money laundering (AML) efforts. Unlike existing benchmarks that often …
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Machine learning models detect insurance money laundering
A new paper explores the application of machine learning to actively combat money laundering within the insurance sector. Researchers trained gradient-boosted decision tree models using data from a Norwegian insurer to …