Field Footage
Democracy Protection Agency
An AI-Powered Institutional Integrity Audit Framework
The Democracy Protection Agency deploys AI-powered audit algorithms against publicly available data to detect patterns of institutional capture that human oversight consistently misses. Built on three detection pillars, the DPA cross-references law enforcement activity, judicial outcomes, and financial disclosures to surface the structural corruption that hides in plain sight. This is the operational next step from the research already published here — the Plaza Model exposed the architecture of capture, the Fentanyl Corridor Assessment mapped the supply chains it protects. Now we audit the machinery itself.
Detect anomalous zero-patrol zones at specific times — streets that go unpoliced during trafficking windows. Cross-reference 911 response time data with patrol GPS logs and incident reports to map corridors where law enforcement deliberately stands down.
Identify two-tier justice — where connected individuals receive catch-and-release treatment while rivals and dissidents receive maximum sentencing. Analyze sealed record frequency, bail patterns, and sentencing distributions across demographic and association lines.
Audit public servant financial disclosures, municipal contracts, grant disbursements, and asset forfeiture flows. Detect shell company patterns, diversion of federal funds, and unexplained wealth accumulation in officials overseeing captured institutions.