How Quantifind & DIU Are Automating FOCI Vendor Risk Screening
How AI-enabled diligence helps federal agencies screen defense vendors for foreign influence without overextending analyst teams
Every vendor in the defense supply chain is a potential point of infiltration for U.S. adversaries. In a recent briefing, Quantifind Co-Founder John Stockton examined the operational hurdles of evaluating Foreign Ownership, Control and Influence (FOCI) across an increasingly complex vendor landscape. Manual processes used to vet thousands of incoming entities each year create severe bottlenecks for resource-constrained analyst teams. To address this, Quantifind partnered with the Defense Innovation Unit (DIU) to develop AI-Enhanced Diligence Evaluation (AIDE), an enhanced version of the Graphyte platform built for government vendor vetting. AIDE compresses investigation timelines from weeks to minutes and extends each review across an entity’s wider network of associated people and companies. This whitepaper explores how responsible, transparent AI enables federal agencies to conduct continuous vendor threat mitigation without overextending human analysts.
- Manual vetting can’t keep pace. The Defense Innovation Unit (DIU) screens more than 5,000 companies a year, and the Defense Counterintelligence and Security Agency (DCSA) has faced up to 100,000.
- Hidden influence is the harder risk. Adversaries rely on injected capital and concealed connections rather than explicit foreign ownership.
- AI-enabled diligence compresses investigations from weeks to minutes.
- One-time vetting is no longer enough. Post-award mergers, acquisitions and investment changes require continuous evaluation.
From Vendor Threat Landscape to Continuous Mitigation
The Scale and Complexity of the Vendor Threat Landscape
Why rising vendor volumes and subtle foreign influence outpace manual review.
Technical Framework for Automated Risk Detection
How structured and unstructured data combine to expose hidden ownership and funding ties.
Operationalizing Continuous Evaluation and Mitigation
The multi-tiered screening funnel, from batch processing to human-in-the-loop review.
Data Governance, Privacy and Customization
How the architecture meets federal data governance requirements and adapts to each agency’s risk appetite.
Conclusion
Why agencies that move to continuous risk awareness will acquire critical technology faster.
