Threat Theaters

🏦 Anti-Money Laundering theater

Focuses on money laundering β€” placement, layering, and integration across mixers, nested exchanges, hawala, shell companies, and trade-based schemes. Traces illicit value from predicate crime to cash-out to disrupt the professional launderers that service organized crime and nation-states.

Live indicators

18.9K
in this theater

High severity

0
score β‰₯ 0.75 (top 60)

Actors tracked

5
documented

Mapped sources

23
in catalog

🧭 Intelligence disciplines

FININT →CYBINT →OSINT →HUMINT →

📜 Anti-Money Laundering Playbook

  1. Collect on-chain transactions, SAR data, and sanctioned-entity lists from Chainalysis, FinCEN, and OFAC feeds.
  2. Cluster wallets and normalize fiat and crypto flows, tagging mixers, nested exchanges, and shell-company conduits.
  3. Trace layering and integration flows through Garantex/Huione-type conduits, hawala, and trade-based laundering.
  4. Attribute laundering infrastructure to MLOs and networks (Khanani, Kinahan, Lazarus cash-out) via ownership and cluster analysis.
  5. Report typology findings and wallet attributions to FIUs, Egmont partners, and compliance teams.
  6. Submit freeze and seizure requests, de-risk high-risk VASPs, and refer entities for sanctions designation.

⚡ AI Skills & Automation

🤖 Copilot brief⚡ AI SkillsResolveEnrichAuto-CollectHuntReportExport

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

🎯 Add to case

Attach Anti-Money Laundering (Mission Domain) and pull all linked entities:
Workstation Β· Copilot Β· AI Skills Β· Automation Β· Playbooks Β· Lookups Β· Docs Β· Reports

🤖 AI Copilot

🔍 Lookup & Enrich

💡 Recommendations

⚙ Automation

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