Founder, Principal Lead Investigator & Licensed Qualified Manager
J. Curtis Buma
J. Curtis Buma is an executive leader with 20+ years spanning federal investigations, national security, financial intelligence, enterprise risk, regulatory compliance, and AI evaluation. He spent nearly 17 years with the FBI — advancing from Special Agent to Supervisory Special Agent and National Program Manager at FBI Headquarters — leading high-consequence programs involving AML, sanctions evasion, strategic financial networks, foreign counterintelligence, HUMINT governance, cybersecurity risk, public corruption, and complex fraud. He is the founder of UAC Private Investigations PLLC, Executive Director of Project Lost & Found (a humanitarian nonprofit addressing missing persons), and a repeat consultant evaluating frontier AI systems for Mercor. Buma holds active PI Qualified Manager licenses in California (PIQ22135), Arizona (1819040), and Utah (P112781), and is a designated FBI Subject Matter Expert in Strategic Financial Intelligence, International Money Laundering & Sanctions, Foreign Counterintelligence, Advanced Surveillance, and HUMINT Operations. He is also a professional-level Russian speaker and the author of Truth's Last Stand: Unsealed.
Selected Executive Impact
National Program Leadership
Led counterproliferation and strategic financial intelligence programs across 11 FBI field offices, overseeing 100+ active investigations and ~500 FISA Section 702 authorities.
Financial Intelligence Innovation
Designed the FBI Counterproliferation Center's strategic financial investigative methodology — wire transfers, correspondent banking, beneficial ownership, shell companies, and trade finance.
Enterprise Governance
Directed policy compliance, operational risk, source validation, documentation standards, legal oversight, and quality control for one of the FBI's largest Confidential Human Source programs.
AI Evaluation
Evaluates frontier AI systems for Mercor through adversarial testing, human-behavior simulations, and structured model evaluation — applying investigative tradecraft to high-consequence AI scenarios.
