Disciplines

🚫 Sanctions Intelligence (SANCINT)

🔌 Sources for Sanctions Intelligence (1)

🎯 Mission Domains served

🎫 Data Points

🔍 Lookup

📊 Pre-built Queries · Sanctions Intelligence

🔄 Live Datasets & APIs (1 key-free · ingestible)

📜 Playbook — Sanctions Intelligence collection

1. Direction — frame the requirement for Sanctions Intelligence: what decision does this support, by when?
2. Collection — collect from the 1 mapped sources (1 free) — filter the catalog by SANCINT; capture provenance and observe OPSEC.
3. Processing — normalize, de-duplicate and enrich the collected data.
4. Analysis — correlate against local holdings; apply ACH; assign confidence.
5. Dissemination — open a case, draft a report, share via STIX/MISP.
6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🗃 Data Management

🧩 Advanced Capabilities

🔗 Pivot to related disciplines

✨ Enrichment pathways

🎯 Mission

Sanctions Intelligence collects designation lists, ownership aggregations, and evasion-network indicators to determine who is restricted and how they circumvent controls. It answers whether an entity is sanctioned directly or through the 50-percent ownership rule, how front companies and dark-fleet logistics enable evasion, and where secondary-sanctions exposure exists.

📡 Collection methods

• Watchlist reconciliation and fuzzy name/alias screening
• 50-percent-rule ownership aggregation across designated parties
• Front-company and successor-entity detection
• AIS-gap / dark-fleet and ship-to-ship transfer detection
• Trade-diversion and dual-use goods routing analysis
• Transliteration and alias normalization for cross-script matching
• Aircraft and vessel re-flagging / ownership-change tracking

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• OpenSanctions/yente
• Maltego
• Equasis
• MarineTraffic
• ADS-B Exchange
• Jellyfish (name matching)
• OpenRefine

📜 Sanctions Intelligence Tradecraft

1. Collect all consolidated designation lists and target ownership/registry data
2. Normalize aliases and transliterations, then screen entities with fuzzy matching
3. Aggregate indirect ownership to apply the 50-percent rule and map front companies
4. Attribute evasion via AIS gaps, re-flaggings, and transshipment to specific vessels and operators
5. Issue a designation-exposure memo with match confidence and evasion evidence
6. Push confirmed hits to screening systems and refer new evasion typologies to enforcement

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities