Request Your Free Research Report Now:

"Global Aml Research The Road To Integration"

Financial institutions are adopting AI for anti-money laundering compliance, with 43% piloting or planning within 18 months. Goals include reducing false positives and improving investigations. Regulatory hesitancy remains a barrier, but data integration and cross-functional teams show promise. Explore AI's role in AML compliance in this report.

Financial institutions face pressure to combat sophisticated money laundering while managing compliance costs. Traditional systems generate excessive false positives and miss complex patterns, creating inefficiencies and risks.

This report explores AI and machine learning adoption in anti-money laundering compliance across 850+ institutions, offering insights into challenges, regulatory views, and strategies to enhance detection while reducing burdens:

• AI’s impact on false positives and threat detection
• Integration of AML, fraud, and security processes
• Regulatory barriers to AI adoption

Read the full report to see how institutions transform compliance with AI.

Offered Free by: SAS
See All Resources from: SAS