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Money Mules – Where Fraud, AML and Cybersecurity Converge
Introduction In an age defined by rapid technological advancement, we are concurrently experiencing a notable surge in attacks targeting customers in the financial services sector. The complexity, diversity, and sophistication of these attacks are also on the rise....
Embrace the Future: 2024 Financial Crime Predictions Unveiled!
AI & ML Integration in the Anti-Financial Crimes Ecosystem Firstly – there’s a growing emphasis on the application of AI and ML within the anti-financial crime ecosystem, aligning closely with data governance. While organizations recognize the benefits that AI...
Safeguarding Against Financial Crimes: The Crucial Role of Data Privacy for FIs
The Importance of Data Privacy as a Preventative Measure. According to the FinCEN report, attackers exploit identity processes through impersonation, circumvention of verification processes, and using compromised credentials, showcasing the urgent need for...
Illuminate AML and Sanctions Risks Using Lynx AML
Our Lynx AML modules – transaction screening, customer screening and case management – optimize the way organizations detect and manage financial crime. We apply AI-led, human-centered technologies to detect illicit activities leveraging supervised and...
