Reduce False Positives by 70% with Self-Learning AI
Sanctions Self-Learning - The Industry's Most Intelligent Sanctions Screening Solution
False positives are the hidden cost destroying your compliance efficiency. While traditional screening systems flag thousands of innocent transactions daily, Sanctions Self-Learning uses self-learning AI to achieve what others can't: dramatic false positive reduction without compromising compliance.
How Self-Learning AI Transforms Screening
Unlike static rule-based systems, Sanctions Self-Learning continuously learns and improves from every screening decision
Initial Screening
AI analyzes transaction against all sanctions lists using advanced fuzzy matching and phonetic algorithms
Contextual Analysis
NLP understands relationships, context, and meaning beyond simple name matching
Risk Scoring
ML models assign precise risk scores based on multiple factors and historical patterns
Analyst Review
Human decision on borderline cases with comprehensive context and supporting evidence
Feedback Loop
AI learns from analyst decisions, continuously improving accuracy and reducing false positives
Continuous Improvement
Models update automatically, becoming more intelligent with every transaction processed
Results Timeline After Implementation
Comprehensive Global Coverage
Monitor 200+ sanctions lists worldwide with real-time updates and intelligent matching
Primary Sanctions Lists Monitored
OFAC (United States)
- SDN (Specially Designated Nationals)
- Consolidated Screening List
- Sectoral Sanctions Identifications
- Foreign Sanctions Evaders
EU Consolidated List
- EU Sanctions Map
- Financial Sanctions Database
- Asset Freeze Targets
- Travel Ban List
UN Security Council
- Consolidated List
- Al-Qaida Sanctions List
- ISIL & Da'esh Sanctions
- Country-specific sanctions
HMT UK Sanctions
- UK Sanctions List
- Asset Freeze Targets
- Financial Sanctions Notice
- Investment Ban List
DFAT Australian Sanctions
- Consolidated List
- Autonomous Sanctions
- UN Security Council Sanctions
- Thematic Sanctions
200+ Additional Lists
- Country-specific sanctions
- Regional enforcement lists
- PEP (Politically Exposed Persons)
- Adverse media databases
Advanced Screening Features
Fuzzy Matching
Advanced algorithms detect variations, misspellings, and transliterations with 99.3% accuracy
Phonetic Analysis
Sound-alike matching across multiple languages and character sets
Regular Updates
Sanctions lists updated after official publication
Contextual Intelligence
AI understands context, relationships, and business logic beyond simple matching
Global NY Bank Success Story
How the world's largest custodian bank achieved 70% false positive reduction
Global NY Bank
The Challenge
Global NY Bank was experiencing overwhelming false positives in their sanctions screening operations, impacting operational efficiency and customer experience. Traditional screening systems were generating thousands of false alerts daily, requiring extensive manual review and causing processing delays.
The Solution
Implementation of Sanctions Self-Learning across all business lines with comprehensive integration into existing workflows. The self-learning AI was trained on Global NY Bank's historical data and continuously optimized based on analyst feedback.
The Results
Global NY Bank achieved dramatic operational efficiency improvements while maintaining 100% regulatory compliance. The "high success rate" in head-to-head POC testing led to enterprise-wide deployment.
"The results speak for themselves. Sanctions Self-Learning delivered exactly what was promised - an 70% reduction in false positives while maintaining our strict compliance standards. The self-learning capability means it keeps getting better every day."
Ready to Eliminate False Positives?
Join Global NY Bank and other leading banks who have transformed their sanctions screening with Sanctions Self-Learning.