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Inside the push for cross-border AML collaboration
Criminals thrive on inconsistency. In the world of anti-money laundering (AML), gaps in jurisdictional oversight, fragmented reporting frameworks, and variable regulatory standards create opportunities...
Why smaller FIs are struggling with AML compliance
Smaller financial institutions are increasingly under pressure to meet the same anti-money laundering (AML) compliance standards as their larger counterparts—yet face considerable structural disadvantages...
Smarter AML triage with federated risk scoring
As financial crime grows more complex and voluminous, traditional AML systems are struggling to keep up. In 2023 alone, financial institutions in the US...
How federated AI is transforming legacy AML systems
Ripping out and replacing anti-money laundering (AML) systems is no longer a practical option for most financial institutions.
According to Consilient, deeply embedded legacy...
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.
