By SanctionsAI team · Updated 2026-08-09
How to build a sanctions transaction monitoring system
A transaction monitoring system screens every payment against sanctions lists in real-time and generates alerts for review.
Core components
| Component | Function |
| Sanctions screening engine | Matches names/wallets against SDN |
| Transaction logger | Records every screened transaction |
| Alert queue | Routes flagged transactions to reviewers |
| Reporting | Generates compliance reports |
Step 1: Define screening rules
Every transaction triggers: counterparty name screening, wallet address screening, jurisdiction check, pattern detection.
Step 2: Implement real-time API integration
Insert screening API call before transaction execution. Target latency: sub-500ms.
Step 3: Design the alert workflow
Confirmed SDN match (block), potential match (1-hour review), jurisdiction flag (24-hour review), pattern alert (48-hour investigate).
False positives: Expect 90%+ initially. Tune rules by analyzing historical alerts. Never disable a rule without documented approval.
Screen your agent's next payment
Check any wallet, name, or entity against OFAC, EU, UN sanctions lists in real time.
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Frequently Asked Questions
- How fast must sanctions screening be?
- Real-time transaction screening should complete in under 500ms.
- What is the false positive rate?
- Initial: 90%+. With tuning: 5-10%.
- How long must monitoring records be kept?
- FinCEN requires 5 years. OFAC recommends 5 years.
- Can AI agents do transaction monitoring?
- AI can screen and flag. Alert disposition requires human review.
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