Measure your sanction screening system performance and then benchmark your scores against industry-standard aggregated scores of your peers around the world.
Use Global Benchmark to measure your sanction screening system performance and compare it to industry-standard aggregated scores. From here, regularly analyse and compare the efficiency and effectiveness of your sanction screening system in detail.
AML Analytics publishes monthly global, regional and industry-specific benchmark scores for both client and payment screening systems at control and manipulated level. We also provide specific benchmark scores for Chinese character testing and are the only company in the world to offer this.
The peer comparison process is easy using the advanced analysis features and interactive graphics available on, Analyser Online.
Benchmark your sanction screening performance
Control – Client Screening
Control – Payment Screening
Manipulated – Client Screening
Manipulated – Payment Screening
The Global Benchmark scores above are the very latest monthly scores that have been compiled using test results from all our Global Benchmark customers around the world.
These scores represent the average performance levels of sanction screening systems at both control and manipulated level for client screening and payment screening systems.
Global Benchmark is the easiest way to compare the performance of your sanction screening systems with your peers around the globe.
Access the latest data
AML Analytics creates a monthly Global Benchmark standardised test file using up-to-the-minute data from the most important global sanction lists. Our testing process is cost-effective and straightforward and we make sure that we have reflected important industry criteria in our tests.
To ensure the highest of standards, we now include non-sanction records in our Global Benchmark tests. Using records that should be missed by sanction screening systems guarantees they are functioning optimally.
If the entire 22,000-strong OFAC-SDN list was tested and a score of 99% was produced, it would still mean that 220 names in their original form may not have been identified and captured by a screening system.
Cutting-edge RegTech and SupTech testing, validation and risk assessment solutions for financial institutions and regulatory authorities.