A Telemetry Schema for Isolating Autonomous Multi-Agent Procurement Anomalies: A Case Analysis of G7/UK Sanctions Designations
Authors/Creators
Description
This repository contains a reproducible data-science methodology and empirical baseline for identifying automated, agentic procurement loops hiding within standard commercial transaction logs. Rather than relying on lagging entity-name matching, the enclosed schema isolates non-human procurement actors by mapping mathematical anomalies in background network telemetry—specifically response time determinism (Delta-t minimal variance) and parallel syntax convergence.
The framework is validated via a retrospective structural analysis of the June 16, 2026 G7/UK statutory sanctions update. Included in this dataset is the raw designation metadata for Unique ID: RUS3627 (LLC NEPTUNE CO LTD), a verified GRU procurement front operating in the electronics sector, alongside documented physical maritime enforcement timelines (MV Smyrtos interdiction).
Files Included:
Behavioral Telemetry Whitepaper (PDF/Markdown)
Primary Government Designation Source File for RUS3627 (Text/ODT)