Financial institutions face growing pressure to detect and report indicators of predicate crimes, such as human trafficking, ransomware, environmental crimes, and EIP fraud, which funnel money into money laundering channels. Advanced analytics and machine learning can help identify red flags and improve compliance efforts by automating detection and alert prioritization. Warning signs include unusual transactions, excessive use of cryptocurrencies, and suspicious activities related to government relief payments. Technology can enhance data analysis, enabling more accurate risk assessments and faster decision-making to prevent financial crime.

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