Remove Fraud Detection Remove Risk Assessment Remove SARS
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AI Meets AML: How the Analytics Work

FICO

Our new machine-learning techniques are directed specifically towards real-time, transaction-based KYC anomaly detection and highly refined self-learning models focused on anti-money laundering SAR (suspicious activity report) detection. AML Threat Score: Using machine learning to detect and rank-order suspected AML cases.

AML
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DataVisor Unveils its AI-Powered End-to-End AML Compliance Solution

Finovate

More specifically, DataVisor’s new AML solution provides: Comprehensive end-to-end functionality: including customer risk rating, CDD, EDD, sanction/watchlist screening, transaction monitoring, case management, and automated SAR filing. According to Crunchbase, DataVisor has raised more than $94 million in funding.

AML
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Financial Crime: Technology can Transform Compliance

FICO

With the acquisition of Tonbeller in 2015, FICO expanded its fraud portfolio and moved into the growing market for financial crime and compliance solutions to bring the benefits of advanced analytics to a field dominated by rule-based systems. What does FICO offer and how does it distinguish from other AFC solutions?

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Know Your Transaction: Why & How It Can Help You

Seon

Depending on each organization’s risk tolerance, this may be where parties associated with the suspicious transaction are subjected to further security checks or trigger a more comprehensive manual review by risk teams. It achieves this through transaction and behavior monitoring, risk assessment, and alert generation.

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AI’s impact on payments: NVIDIA’s vision for fraud prevention and customer engagement

The Payments Association

In this Q&A, NVIDIAs EMEA Payments & FinTech Leader, Georgios Kolovos, explains how AI is revolutionising fraud detection, risk management, and customer engagement in the payments industry. False positives in fraud detection remain a major challenge for payments companies.