Government Threat Finance

Threat actors operate through corporate networks.

State-sponsored adversaries, terrorist organizations, and proliferators use layered corporate structures to access the financial system. Sayari maps the corporate infrastructure behind the threat – connecting financial intelligence to beneficial ownership.

THE REGULATORY REALITY

89%

of OFAC enforcement actions targeting state-sponsored networks in 2024 involved corporate structures with at least three layers of beneficial ownership. Financial intelligence alone cannot resolve these structures without corporate registry data.

OFAC Enforcement Data 2024 · Sayari Research

THE PROBLEM

Why financial intelligence alone misses the structure

The structural gaps that point solutions can’t close.

Corporate infrastructure opacity

Threat actors register dozens to hundreds of nominally independent companies to access financial rails, move value, and maintain operational security. Each entity appears legitimate when reviewed in isolation.

Jurisdictional arbitrage

Threat networks deliberately exploit jurisdictions with weak beneficial ownership disclosure, opaque corporate service providers, and limited law enforcement cooperation to create structures that defeat single-source analysis.

Speed-to-designation lag

By the time a network is identified and designated, its principals have already migrated to new corporate structures. Intelligence needs to be proactive and network-aware, not reactive and entity-specific.

THE SAYARI APPROACH

Map the corporate infrastructure of threat networks.

Sayari integrates corporate registry data from 250+ jurisdictions with trade flow records and financial intelligence – enabling threat finance analysts to trace ownership networks, identify node dependencies, and map the full corporate infrastructure behind a threat actor.

Threat Network Mapping

Trace any designated or suspected entity across its full corporate network – subsidiaries, affiliates, co-registrants, and trade partners – across 250+ jurisdictions.

Beneficial Owner Identification

Traverse nominee structures, trust arrangements, and corporate service provider relationships to identify the natural persons controlling a threat network.

Financial Infrastructure Analysis

Map the corporate entities used to access financial rails – correspondent banks, payment processors, and shell companies – and their relationships to designated principals.

Network Prioritization

Identify the highest-leverage nodes in a threat network – the entities whose removal would most disrupt the network’s ability to move value or access controlled goods.

threat_finance_map.log

> Threat Finance Network

target: “Crescent Horizon Ltd (UAE)”
✓ Resolved to canonical entity record
✓ 9 shell company hops traversed
⚠ 3 jurisdictions: known evasion activity

> Sanctions Evasion Pattern

network: UAE → Türkiye → Russia (14 entities)
✗ Ultimate beneficiary: OFAC SDN (IRGC)
✗ Illicit finance typology: confirmed

intel.package(target=”CRH-0441″, severity=”HIGH”) → OFAC referral
Sayari Graph – threat finance & illicit network mapping

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HOW IT WORKS

From data to decision

01 – SCREEN

Start from any known actor or indicator

Begin with a designated entity, a financial alert, or a trade anomaly flagged by FinCEN, OFAC, or partner agencies.

02 – EXPAND

Corporate network traversal

Sayari maps all corporate relationships – ownership chains, co-directors, co-shareholders, and trade partners – across 250+ jurisdictions.

03 – TARGET

Identify key nodes for designation or disruption

Prioritize entities by network centrality, financial access, and operational role for designation recommendations or interdiction planning.

6B+

Records integrated in Sayari’s world model

Sayari’s world model integrates corporate registry filings, trade flow records, beneficial ownership data, and enforcement intelligence into a single persistent entity graph – giving threat finance analysts the cross-domain view that adversary networks are specifically designed to prevent.

<smallSayari Research · 2025

WHY SAYARI

Sayari vs Legacy tools

SAYARI

  • Corporate + financial + trade integration – full infrastructure picture in one world model
  • Network-first analysis – map the full corporate network from a single starting entity
  • 250+ jurisdiction integration – no jurisdictional blind spots in the ownership traversal
  • Proactive intelligence – identify new corporate infrastructure before it’s designated

LEGACY TOOLS

  • Financial data only – can’t see the corporate infrastructure that threat actors use to access financial rails
  • Entity-by-entity analysis – misses the network-level structure that defines operational security
  • Jurisdiction-specific – can’t integrate corporate data across the multiple registries threat actors exploit
  • Reactive designation workflow – identifies actors after they’ve already operated for months or years

CLIENT RESULTS

Measured outcomes from production deployments

COVERAGE

250+

Jurisdictions with corporate registry integration for threat network tracing

SCALE

500M+

Corporate entities in Sayari’s world model

DEPTH

10+

Degrees of ownership separation traversable in a single network query

PRODUCTS FOR THIS USE CASE

Sayari products that power this workflow

Sayari Graph

Entity resolution and ownership graph for 500M+ companies across 250+ jurisdictions.

Explore Sayari Graph

Sayari Map

Trade-flow intelligence mapping shipment data to corporate ownership networks.

Explore Sayari Map

Sayari Signal

Continuous monitoring that alerts on meaningful changes across your counterparty base.

Explore Sayari Signal

FREQUENTLY ASKED QUESTIONS

Common questions about this use case

How does Sayari map threat finance networks?
What threat finance typologies does Sayari support?
How does Sayari support the targeting cycle for threat finance operations?
Is Sayari available in classified environments?

GET STARTED

See a threat network mapped across jurisdictions.

Request a demo to see Sayari Map trace a re-export network on live trade data.

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