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Fight Money Laundering and Achieve Compliance
Increase anti-financial crime program effectiveness at scale.
Research and Commentary
Knowledge for more effective financial crime compliance programs
A Smarter Risk-Based Approach to Tackling Financial Crime
Uncover how you can apply a risk-based approach using latest data science tools for criminal pattern discovery. A look at next generation AML compliance driven by machine learning and graph analytics.
Oracle Recognized as Category Leader in Chartis RiskTech Quadrant® for Financial Crime Risk Management Systems 2019
Chartis rated Oracle as category leader in its RiskTech Quadrant® for AML/watchlist monitoring solutions, 2019. Oracle was rated highly for a variety of capabilities, including regulatory compliance reporting and controls, alert/case management, and advanced analytics.
Here’s How Small and Medium Banks Can Tackle the AML Challenge
Understand how you can overcome common AML/CTF challenges for smaller institutions with cost-effective and efficient behavior detection and investigation systems.
Can Blockchain Stop Money Laundering?
Blockchain can help increase the level of data traceability and integrity, improving the quality of your banks’ transaction monitoring capabilities. How does it really work?
Solutions for End-to-End Anti-Money Laundering and Financial Crime Compliance
Minimize risk while ensuring seamless customer service.
Identify money launderers and comply with CDD and KYC regulations over the entire customer lifecycle. Quickly and accurately assess risk and compare customers to global sanctions and watchlists. Onboard good customers quickly and seamlessly.
Detect money laundering more effectively.
At least $1.8 trillion in criminal proceeds are laundered every year. How much of it goes through your bank? Use Oracle to identify unusual customer behavior and suspicious money movements.
Boost the accuracy and efficiency of financial crime investigations.
AI-powered, enterprise-level investigation and case management can uncover criminal networks. Spend more time investigating truly suspicious activities instead of sifting through false positives.
Streamline reporting processes and keep costs down.
Generate and file SARs and STRs. Stay compliant with global AML reporting guidelines and regulations. Manage compliance faster and smarter with streamlined regulatory analytics and sound data integrity.
Featured Products
How Oracle Increases AML and Financial Crime Compliance Program Effectiveness at Scale
Unrivaled Data Management
With the Financial Services Data Foundation, unite previously siloed internal data for a complete customer view, a streamlined financial crime compliance program, and lower costs. Reduce time spent on data gathering through robotic process automation. Run applications on your data lake and relational databases together, and perform batch and real-time analytics on one platform. The, turn your compliance data into a competitive advantage by using it for customer analytics.
Advanced Analytics
Traditional rules can’t evaluate the vast amount of context needed to accurately distinguish money launderers from good customers. By analyzing relationships among entities instead of just the entities themselves, graph analytics easily identifies complex money movement patterns, multi-hop relationships, and hubs and spokes of activity. This, in combination with entity resolution and advanced decisioning, powers greater accuracy, better case creation, and intuitive visualizations that enable better investigations.
Powerful Platform
Oracle AML and Financial Crime Compliance dates back to work begun in 1996 for the National Association of Securities Dealers. These capabilities eventually become Mantas, which was acquired by Oracle in 2006. Our clients benefit from our enterprise-grade, resilient architecture that easily integrates cutting-edge innovations with a comprehensive suite of applications for a streamlined compliance program at scale.
Dawn of a New Era in AML Technology
Arin Ray, senior analyst at Celent, writes about the growing pains in anti-money laundering (AML) operations, potential opportunities gained by leveraging advanced analytics, and its adoption trends and impact.