Strise screens your customers and their connected parties against international sanctions lists. The Sanctions settings page lets you control exactly how this screening works — which lists are checked, how names are matched, and how results are scored.
Who can change these settings? Only team managers can modify sanctions settings. You'll find them under Settings > Sanctions in the app.
1. Screening — Who gets screened?
When Strise screens an entity for sanctions, it doesn't just check the entity itself. It also screens connected parties such as beneficial owners, board members, shareholders, and subsidiaries. This gives you a broader view of potential risk.
You can configure independently which entity types should be included in sanctions screening. For example, sanctions screening covers both persons and companies, while PEP screening only covers persons.
2. Sanctions Sources
Strise uses Dow Jones as its data provider, giving you access to over 1,000 sanctions lists from jurisdictions and regulatory bodies around the world. These include lists from:
EU (CFSP – Consolidated Financial Sanctions Party List)
US (OFAC – Office of Foreign Assets Control)
United Nations (UN)
Canada (DFATD – Global Affairs Canada)
Japan (MOF – Ministry of Finance)
Switzerland (SECO – State Secretariat for Economic Affairs)
US State Department (SPI – Office of Economic Sanctions Policy and Implementation)
All lists are enabled by default. You can turn individual lists on or off to match your compliance requirements. New lists added by Dow Jones are automatically included, and you'll be able to review and disable them if needed.
3. Name Matching
This setting controls how strictly names must match against sanctions lists.
You can set a minimum fuzzy name match percentage between 90% and 100% (default: 97%).
A higher value means stricter matching — fewer hits, but higher confidence they are correct
A lower value means more hits, but a greater chance of false positives
Choose a threshold that reflects your team's risk appetite and internal compliance policy.
4. Scoring — How matches are evaluated
When Strise finds a potential match, it calculates a weighted score based on the similarity of different data fields. You can adjust how much each field contributes to that score:
Data field | Default weight |
Name | 100 |
Birth date / Inception date | 100 |
Country | 50 |
The final score is a weighted average. Based on this score, Strise suggests whether a hit is a true match or a false match.
You can set the suggested true match threshold (range: 50–100%, default: 80%). Hits at or above this threshold are flagged as suggested true matches; hits below it are suggested false matches.
Note: Matches on national unique IDs (e.g., organization numbers) are always considered 100% accurate, regardless of scoring settings.
5. How changes affect monitoring
When you update your sanctions settings, the changes take effect at the next screening run. This means:
Less strict settings may generate new alerts for entities that were not flagged before
More strict settings may reduce the number of alerts
Default settings at a glance
Setting | Default value |
Sanctions sources | All Dow Jones lists enabled (1,000+) |
Minimum fuzzy name match | 97% |
Name weight | 100 |
Birth/inception date weight | 100 |
Country weight | 50 |
Suggested true match threshold | 80% |
For more technical details, visit the Strise Wiki.