International sanctions against Russian drone manufacturers were intended to degrade production capacity. In practice, Supercam, a key Russian UAV manufacturer, achieved a tenfold production increase after designation. The objective of this investigation was to identify the specific mechanism enabling this evasion, map the corporate structures exploiting it, and formulate concrete recommendations for closing the gap.
This investigation utilized a structured effectiveness framework to identify systemic flaws in current sanctions design by cross-referencing corporate registries with official designation lists. By mapping the supply chain of subsidiaries like KazUAV, the analysis traced active evasion vectors and pinpointed how name-based designations fail to capture the underlying legal entities. These findings highlight the specific regulatory gaps that allow sanctioned organizations to maintain international market access through restructuring.
The investigation exposed a systemic flaw undermining the effectiveness of sanctions across the Russian defence sector — not just in the Supercam case, but wherever designations rely on names alone. The findings carry direct policy implications for OFSI, the EU sanctions framework, and allied export control authorities: transitioning to entity-identifier-based designations would materially close the evasion channel currently enabling continued drone production. For compliance teams and sanctions screening providers, the name-vs-entity analysis framework developed here offers a replicable methodology for auditing whether existing designations are achieving their intended operational impact.
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