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Is false positive reduction reshaping transaction monitoring?
In the rapidly evolving financial security world, transaction monitoring stands as a critical defence against fraud and illicit activity. However, the persistent challenge of...
How federated learning and machine learning are reshaping customer risk ratings
Customer Risk Ratings (CRRs) have long been integral to anti-money laundering and counter-terrorist financing (AML/CFT) frameworks.
How Consilient is transforming financial crime prevention with federated AI
Founded in 2020, Washington DC-headquartered Consilient brings together next-gen technology and best-in-class AML and CFT knowledge to power a more secure, dynamic and effective solution for financial institutions.
How secure collaboration is transforming financial crime detection
Money laundering activities in the United States alone are estimated to total $300bn annually. In 2023, penalties for anti-money laundering (AML) violations in the...
What is the role of federated learning in RegTech?
Federated learning is a machine learning technique that enables multiple entities to train a model together while keeping their data decentralized. In an era where AI models are taking shape, such a technology will be able to play a key role in the expansion of RegTech.
Revolutionizing risk management: The transformative impact of federated learning
The global financial landscape is increasingly plagued by the complexities of financial crime compliance. As the severity of global money laundering grows, major financial institutions are entangled in a dense web of risks and regulations.
Consilient launches its Federated Learning RegTech solution to market
Consilient, which is on a mission to transform how businesses address financial crime, has launched its financial crime detection and prevention solution to market.
