← Back to dashboard 🔒 Premium — subscriber access

TIER 1 — SANCTIONS DESIGNATION INTELLIGENCE REPORT

Classification: OPEN SOURCE INTELLIGENCE (OSINT)
Date: 2026-04-03
Sources: EGRUL (23.46M records), OFAC SDN List, LinkedIn (3.16M RU profiles), Neo4j graph analysis
Prepared by: Sanctions Intelligence Pipeline


EXECUTIVE SUMMARY

Cross-referencing 3.16 million Russian LinkedIn profiles against 21 OFAC-sanctioned defense entities, EGRUL corporate registry data (23.46M records), and the OFAC SDN list reveals three high-priority targets where sanctioned defense enterprise directors maintain parallel private corporate structures. These structures present significant sanctions evasion risk as potential procurement, financial, and asset-concealment vehicles.

# Target Sanctioned Role Private Entities Risk Assessment
1 МАНТРОВ А.В. GenDir + Owner, ООО Гранд (Кронштадт Group) 3 entities CRITICAL — Direct personal UBO of sanctioned drone manufacturer + procurement shells
2 КОЛЕСОВ Н.А. GenDir, АО Вертолёты России 4 entities HIGH — Private Tatarstan/Penza/Moscow companies under sanctioned helicopter chief
3 ЛУШНИКОВ А.В. / ЛЕПИН В.Н. Rotating GenDirs, АО Концерн Калашников + АО Транскомплектхолдинг 4 additional entities HIGH — Director rotation pattern across sanctioned arms manufacturer + holding company

Recommendation: All three cases warrant secondary sanctions designation packages targeting the identified private entities as potential evasion vehicles.


🔒 Premium brief — full access

This brief's evidentiary detail, specific targets, and designation recommendations are available to vetted compliance teams, law firms, and government analysts — as single-brief purchases or under a portfolio monitoring retainer. The teaser above shows the headline methodology; the full document includes case-number citations, target INNs, SDN-adjacency numbers, and recommended secondary-designation scope.

Already subscribed? Open the full brief with your analyst credentials. Otherwise, subscribe to portfolio monitoring for the full library, or commission this brief on its own.

Read the full brief → See access options Request by email
Basis and limitations. Findings in this brief are derived from public records — kad.arbitr.ru arbitration filings, EGRUL registry extracts, zakupki.gov.ru procurement contracts, and official sanctions lists — and from algorithmic scoring described in the methodology. Scores are triage outputs, not legal determinations. Court co-litigation measures litigation frequency with listed parties, not culpability; procurement links may reflect arm's-length commerce. Named entities may dispute factual errors via derek.linz@linzalytics.com (subject "Dispute request"); the review process and timelines are on the methodology page, and material corrections are logged at /intel/corrections.html with dates.