Using AI to Detect Foreign Influence Risk: Faster & With Greater Fidelity Than Ever Before

The risk of foreign influence – either by nation state actors or individuals with connections to them – is real and growing more significant all the time. At the same time, foreign investment can play an important role in maintaining the vitality of the U.S. industrial base. Against this backdrop, it is essential that federal agencies and the mission partners that support them are acutely aware of their risk of nefarious foreign influence.

Join expert panelists Vinita Fordham (Chief Innovation Officer at B/CORE & former USG leader) and Zach Carwile (Associate Director of the Research and Innovation Security & Competitiveness (RISC) Institute at Texas A&M), as they share frontline insights on what is at stake, what common tactics bad actors use to do harm, as well as techniques that mitigate foreign influence risk for better decision-making overall.

After the webinar, listeners will be able to:

  • Learn how to analyze and enrich human or machine-generated text at scale and in real time using advanced algorithms
  • Explore how deep-transfer learning and a retrieval augmented generation (RAG) pipeline uncover hidden and evolving connections
  • Discover how AI agents automate the identification of problematic relationships that may signal foreign influence risk
  • Understand how to achieve a holistic, data-driven view that breaks down silos and supports better decision-making and risk mitigation

See how Finch can use our AI-backed solutions to proactively protect your organization from the most complex, hidden networks of bad actors.

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