Reduce False Positives Without
Compromising Accuracy
We tackle false positives through a multi-layered approach:
- Search configurations allow customized screening profiles based on risk levels, with adjustable parameters for name matching, entity type, and location.
- Configurable fuzzy matching using the Levenshtein distance algorithm enables precise name variation detection with adjustable thresholds from 0%-100%.
- Over 300 specialized search algorithms handle scenarios like typos, word ordering, and transliterations.
- Machine learning models calculate match scores based on identifier matches, rarity of names, and data correlation.
- An automated profile consolidation system combines multiple hits into single profiles, while an in-house data quality team reviews profiles for accuracy.
A Closer Look at Our AML Capabilities:
SANCTIONS & WATCHLISTS
- Global coverage across proprietary and public sanctions, watchlists, and fitness & probity sources
- Real-time updates every 3 to 15 minutes — the fastest in the industry
- Flexible filtering based on risk category
PEP (POLITICALLY EXPOSED PERSONS)
- Global coverage sourced from tens of thousands of structured and unstructured sources
- Updated every 24 hours for fresh, reliable intelligence
ADVERSE MEDIA
- 18 million articles scanned daily
- AI/ML models add context and relevance — surfacing only risk-relevant stories
- Categorized using FATF-aligned typologies for clear risk mapping
ONGOING MONITORING
- Automated daily rescreening of your customer base
- Instant alerts when there's a change in status or risk profile — no manual work required