The U.S. Commodity Futures Trading Commission CFTC has quietly deployed artificial intelligence tools to scan Polymarket and other prediction markets for signs of insider trading and market manipulation, CFTC chairman Michael Selig said in an exclusive interview with WIRED.

AI monitors prediction markets for illegal activity

Selig, who took office in October 2024, confirmed the agency’s use of AI-driven surveillance systems to flag suspicious trades on decentralized prediction platforms. These tools analyze trading patterns, volume spikes, and timing anomalies that may indicate unlawful activity. The CFTC’s move reflects growing concerns over insider trading risks in fast-growing prediction markets where users bet on real-world events.

Prediction markets like Polymarket allow participants to wager on outcomes of elections, corporate mergers, or regulatory decisions. While legal in the U.S. under certain conditions, these platforms have drawn scrutiny due to their potential for misuse. The CFTC’s AI systems operate in real time, scanning millions of trades daily to identify irregularities that warrant further investigation.

How the CFTC detects insider trading on Polymarket

The agency’s surveillance model incorporates machine learning algorithms trained on historical cases of market manipulation and insider trading. These systems look for telltale signs such as sudden, unexplained price surges before public announcements or trades placed by individuals with non-public information. Selig emphasized that the AI does not replace human oversight but serves as a first line of defense to prioritize cases for review.

Polymarket, which operates as a decentralized autonomous organization on blockchain networks, has faced repeated calls from lawmakers and regulators to improve transparency. The CFTC’s AI initiative signals a shift toward more aggressive oversight of decentralized finance platforms, particularly those enabling high-stakes betting on sensitive events. Selig did not disclose specific cases under review but said the agency has already opened investigations based on AI-generated alerts.

Regulators confront new challenges in prediction markets

The rise of prediction markets has outpaced traditional regulatory frameworks, leaving gaps in oversight. Unlike stock markets, which are subject to decades of established rules and surveillance, prediction platforms operate with fewer guardrails. The CFTC’s AI program is part of a broader effort to close that gap by adapting existing enforcement tools to emerging technologies.

Industry analysts say the CFTC’s approach could set a precedent for other regulators, including the Securities and Exchange Commission SEC, which has also raised concerns about insider trading risks in decentralized markets. The agency plans to expand its AI surveillance capabilities and collaborate with blockchain analytics firms to improve detection accuracy.

Selig stressed that the goal is not to stifle innovation but to ensure fair and lawful markets. “We’re not trying to shut down prediction markets,” he said. “We’re trying to make sure they operate on a level playing field.” The CFTC is also working with Congress to clarify rules for decentralized platforms, a process that could take years.

The agency’s AI tools have already flagged anomalies in trades related to corporate earnings reports and pending regulatory decisions. While most cases are still under review, the CFTC’s proactive stance signals a new era of enforcement in digital asset markets. As prediction platforms grow in popularity, regulators are racing to keep pace with evolving tactics used by bad actors seeking to exploit loopholes.

What You Need to Know

  • Source: Wired
  • Published: May 15, 2026 at 09:30 UTC
  • Category: Technology
  • Topics: #wired · #tech · #science · #using · #hunt-down-insider · #trading

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Curated by GlobalBR News · May 15, 2026

🇧🇷 Resumo em Português

A inteligência artificial está revolucionando a fiscalização de mercados, e agora a Comissão de Negociação de Futuros de Commodities dos EUA (CFTC) deu um passo audacioso ao usar essa tecnologia para rastrear operações suspeitas de insider trading na Polymarket, a maior plataforma de apostas preditivas do mundo. Com sede nos EUA, mas acessível globalmente, a Polymarket permite que usuários apostem em eventos futuros — de eleições a desastres naturais —, transformando especulação em um mercado milionário que agora atrai a atenção de reguladores.

No Brasil, onde o debate sobre regulação de crypto e mercados alternativos ganha força, a medida da CFTC serve como um alerta sobre os riscos de operações não supervisionadas em plataformas descentralizadas. Embora a Polymarket não seja ilegal no país, especialistas brasileiros já discutem a necessidade de marcos regulatórios claros para evitar manipulações e garantir transparência em mercados baseados em predições. A decisão da CFTC reforça a tese de que, sem ferramentas como IA, fiscalizar transações em tempo real seria praticamente impossível, especialmente em ambientes com alta volatilidade e grande volume de dados.

A longo prazo, a experiência da CFTC pode inspirar outros países, inclusive o Brasil, a adotar sistemas similares para monitorar não só mercados preditivos, mas também o crescente universo das cripto-apostas, um setor ainda pouco regulamentado por aqui.

🇪🇸 Resumen en Español

La Comisión de Comercio de Futuros de Materias Primas de EE.UU. (CFTC) da un paso pionero al recurrir a la inteligencia artificial para perseguir el uso de información privilegiada en Polymarket, una de las plataformas de mercados de predicción más populares del mundo. El presidente del organismo, Michael Selig, ha desvelado cómo esta herramienta tecnológica escanea miles de operaciones en tiempo real, con el objetivo de detectar patrones sospechosos que delaten posibles fraudes.

Este movimiento subraya la creciente preocupación de los reguladores por el auge de los mercados de predicción, que, aunque permiten apostar por eventos futuros —desde elecciones hasta desastres naturales—, también pueden convertirse en caldo de cultivo para actividades ilegales. Para los hispanohablantes, especialmente aquellos interesados en finanzas digitales o criptoactivos, la medida refleja una tendencia global: la adaptación de las autoridades a un ecosistema donde la tecnología avanza más rápido que las leyes. Además, pone de relieve los desafíos éticos y regulatorios de un sector que, pese a su popularidad, aún carece de un marco normativo claro en muchas jurisdicciones, incluyendo las latinoamericanas.