Sanctions Intelligence
Analyzer Name: Sanctions Intelligence
Purpose
The Sanctions Intelligence analyzer delivers deep visibility into the global sanctions landscape — newly designated entities, multi-jurisdiction consensus, and high-alias evasion risks across 345 datasets and 9,500+ sanctioned entities. It helps compliance teams stay current with fresh designations, spot the highest-confidence multi-list matches, and identify entities most likely to evade name-based screening through alias proliferation.
List of Sightlines and Widgets
Newly Sanctioned
Significance: Entities recently added to sanctions lists — the designations most likely to be missing from existing customer screening. Compliance teams use this sightline to catch gaps between vendor screening cycles and their own refresh cadence.
Widgets
- Newly Sanctioned in 2026 (stat card)
- Total Sanctioned Entities (stat card)
- Total Datasets (stat card)
- Newly Sanctioned Detail Table
Evasion Risk
Significance: Entities with the most aliases — hardest to catch via name screening. For example, Muammar AL-QADHAFI has 738 aliases; 60% of entities have 20 or more. Investigators use this sightline to identify the sanctioned identities most likely to slip past exact-match screening.
Widgets
- High Alias Entity Count (stat card)
- Total Aliases (stat card)
- Entity Type Breakdown (pie chart)
- Top Sanctioned Countries (bar chart)
- High Alias Entity Detail Table
Multi-Jurisdiction Consensus
Significance: Entities sanctioned by 5 or more independent jurisdictions — the highest-confidence designations in the graph. Concurrence across unrelated enforcement bodies (OFAC, EU FSF, UN, UK HMT, etc.) is a strong signal of elevated risk.
Widgets
- Multi-Jurisdiction Count (stat card)
- Multi-List Match Count (stat card)
- Jurisdiction Distribution (bar chart)
- Multi-Jurisdiction Detail Table
Source Blueprints
- OpenSanctions — consolidated multi-source sanctions and PEP data.
- SanctionsIO — additional screening coverage and fresh designations.