U.S. Soldier Leveraged Classified Coup Intel to Bet on Maduro’s Fall, Prosecutors Reveal

Federal prosecutors disclosed on Friday that Sergeant Gannon Ken Van Dyke, a member of the United States military unit tasked with gathering intelligence for a covert operation aimed at removing Nicolás Maduro from power in Venezuela, allegedly accessed classified briefings describing the timing and scope of the planned effort and subsequently employed that privileged knowledge to place financial wagers on a commercial prediction market that trades on political outcomes.

The indictment, which was unsealed in a court in the District of Columbia, alleges that Van Dyke, despite his sworn oath to protect national security information, used a personal account on an unnamed platform to stake bets that explicitly referenced the anticipated removal of the Venezuelan president, thereby converting intelligence gathered for a foreign policy mission into illicit personal profit and exposing a breach of both legal and ethical standards that govern the handling of sensitive material.

According to the complaint, the soldier’s activity was detected after an automated compliance system flagged unusual betting patterns that coincided with the internal timetable of the U.S. operation, prompting a joint investigation by the Department of Justice and the Defense Counterintelligence and Security Agency, which concluded that the evidence demonstrated a clear link between the classified data and the financial transactions, leading to charges of unlawful possession and dissemination of national defense information as well as fraud.

The case, while centered on the misconduct of a single individual, implicitly underscores a broader institutional fragility in safeguarding intelligence that is routinely disseminated to lower‑level personnel who may lack sufficient vetting or monitoring, thereby revealing a predictable vulnerability in which the very mechanisms designed to protect national security can be subverted by opportunistic actors without robust oversight or real‑time detection capabilities.

Published: April 24, 2026