Sean Anthony Guillory discusses betting intelligence, prediction markets, non-sports event markets, intelligence signals, market integrity, information operations and national-security risk.
Status: Editorial. Not sponsored.
Editorial Update: July 8, 2026.
Interview Snapshot
| Format | GamingMarkets Executive Interview |
|---|---|
| Interviewee | Sean Anthony Guillory, Ph.D. |
| Topic | Betting intelligence, prediction markets and national-security risk |
| Coverage areas | Prediction markets, non-sports event markets, intelligence signals, market integrity, information operations, insider-risk interpretation, security analysis and BETINT |
| Market context | World-event prediction markets, including markets tied to politics, war, diplomacy and sensitive public events |
| Commercial status | Editorial. Not sponsored. |
| Company background | Company information in this article is based on background supplied by Sean Guillory for this interview and publicly available BETINT materials. It is not presented as independently verified third-party endorsement. |
| Link policy | Commercial platform links supplied in interview material are not included in the editorial body. Source references are used for editorial context only. |
Data Snapshot
| Primary subject | Betting intelligence and prediction-market risk |
|---|---|
| Interview basis | Written Q&A with Sean Anthony Guillory |
| Verified public context | BETINT’s public definition of betting intelligence, BETINT’s primer on prediction-market analysis, and selected regulatory context from CFTC, ESMA and the UK Gambling Commission |
| Claims boundary | Interviewee statements are presented as executive commentary, not as GamingMarkets verification of BETINT platform capabilities, client work or market-surveillance outputs. |
| Advice boundary | Market information only. Not legal, investment, gambling, intelligence, security or regulatory advice. |
| Commercial boundary | Editorial interview. Not sponsored. No commercial call-to-action link included. |
Global Regulation Table
| Jurisdiction | Regulator / Authority | Current Status Relevant to This Interview | Verified Source |
|---|---|---|---|
| United States | Commodity Futures Trading Commission | The CFTC describes event contracts as prediction or information contracts and states that Regulation 40.11 prohibits event contracts that reference terrorism, assassination, war, gaming or unlawful activity, or similar activity determined contrary to the public interest. | CFTC |
| European Union | ESMA and national competent authorities | ESMA said event contracts and prediction markets may fall within existing binary-option product intervention measures where they qualify as financial instruments. ESMA also noted that event contracts may qualify as bets under national gambling legislation. | ESMA |
| Great Britain | Gambling Commission | The Gambling Commission defines betting as making or accepting a bet on the outcome of an event or process, the likelihood of anything occurring or not occurring, or whether something is or is not true, subject to exclusions for certain regulated financial activities. | UK Gambling Commission |
Why This Interview Matters
Prediction markets are no longer only a debate about forecasting accuracy or the boundary between trading and gambling.
As world-event markets expand into politics, diplomacy, conflict and other sensitive outcomes, market behavior can also raise questions about information quality, incentives, manipulation, insider knowledge and national-security risk.
GamingMarkets spoke with Sean Anthony Guillory, Ph.D. about how betting market behavior can be interpreted as an intelligence signal, how analysts should avoid overreading market movement, and why he believes prediction markets should be treated as an emerging operational domain rather than only a financial or gambling category.
Interview
GamingMarkets: How do you define “betting intelligence,” and how is it different from traditional betting analytics, forecasting or sportsbook risk management?
Sean Guillory: We define it as “the use of betting market behavior as an intelligence signal of intent, insider knowledge and pending real-world action.”
If someone is looking at “intelligence” in the same context as business intelligence or market intelligence, then what we do would not be much different from traditional betting analytics, forecasting or risk management, except that we focus on non-sports events.
The context we came from in our naming is closer to the different intelligence sources that a government intelligence analyst may use, such as open-source intelligence, or OSINT, and signals intelligence, or SIGINT. That is why we usually refer to what we do as BETINT.
GamingMarkets: Prediction markets are often described in different ways: trading venues, gambling products, information markets or intelligence signals. From your perspective, what are they, and why does that distinction matter?
Sean Guillory: I think it is fair to say that prediction markets are all of the things you mentioned, depending on who is using them and what they are trying to accomplish.
A trader, a bettor, a researcher and an intelligence analyst can all look at the same market and derive different kinds of value from it.
At BETINT, we view prediction markets primarily as intelligence signals, but even that framing requires context. A market only becomes meaningful when interpreted against the specific questions a customer is trying to answer. The same price movement might be relevant to a government analyst tracking geopolitical risk, a corporation monitoring reputational threats or a financial firm assessing market sentiment.
GamingMarkets: A lot of your work sits at the intersection of prediction markets and national-security risk. What should governments, security professionals and regulated-market participants understand about that overlap?
Sean Guillory: The first realization is that these prediction markets can be a source of national-security risk. Since media coverage around alleged insider activity in Venezuela/Maduro-related prediction markets, there has been growing awareness of this issue.
The second realization is that threats from betting markets on non-sports events are not going anywhere, even if there were a blanket prohibition on these types of markets. Doing that would just further offshore these markets, while the threats would remain present.
The third realization is that prediction markets should be understood as another emerging battlespace. Just like governments eventually recognized cyberspace and social media as operational domains, prediction markets need to be viewed the same way so security institutions can focus on the ability to collect, analyze and act on the intelligence these markets generate.
GamingMarkets: When a prediction market moves before a major geopolitical or security event, how should analysts separate a useful signal from noise, manipulation, hype or ordinary speculation?
Sean Guillory: That is a long and involved answer, but I would point to two biases that I frequently see and that need to be controlled.
We discuss these in our primer on analyzing these markets: not every insider is a whale, and not every winner is an insider.
GamingMarkets: Prediction markets do not only reflect expectations. They can also shape attention, media coverage and incentives. Where do you see the biggest market-integrity risks when markets are tied to war, diplomacy, elections or other sensitive events?
Sean Guillory: Your question correctly points to the fact that these markets could be used for information operations by nation-state and non-state actors to push a narrative.
In a recent NBC News article that we helped research, which discussed very large positions placed on Putin leaving office by the end of the year, one of the hypotheses we included was that it may have been an information operation by an adversary of Putin.
The bigger market-integrity risk is that future actors may weaponize these types of markets without regard for market integrity.
Markets tied to state conflict, military action or sensitive infrastructure could create incentives around information gathering, narrative pressure or real-world action. As adversarial actors better understand how prediction markets can direct attention and incentives toward specific targets, the risk is that similar market structures could emerge around U.S. locations, infrastructure or other sensitive targets, with little concern for whether those markets are fair.
GamingMarkets: BETINT is working in a very unusual space, connecting prediction markets, betting intelligence and security analysis. What are you building, and what problem are you trying to solve that traditional media, betting platforms or policy institutions are not yet equipped to handle?
Sean Guillory: We have built an enterprise platform and API to help people look at market and trader insights for world-event-focused markets, even beyond Kalshi and Polymarket. We also provide a supplementary research capability for clients that may not have the time to learn another platform or discipline.
These non-sports markets are not new. Election bets go back decades, and novelty bets have been a staple on betting platforms for a long time.
What has changed over the past two-plus years is the level of liquidity in these kinds of markets. That liquidity can create incentives for dangerous actions or the leaking of insider information.
After the three realizations I mentioned earlier, BETINT is trying to help with the day-to-day threats that will come from these markets. Traditional media, betting platforms and policy institutions may begin to pay attention to these threats, but we are focused on helping clients respond to them.
GamingMarkets Analysis
The core market issue is interpretation.
The takeaway from Guillory’s comments is not that every large or winning bet reflects insider knowledge. The stronger point is that prediction-market behavior can become a signal layer that requires method, context and discipline.
A market move may indicate information, speculation, manipulation, narrative pressure, ordinary trading activity or some combination of those factors. Without a structured analytical framework, the same data can be misread in both directions: serious signals can be dismissed as noise, while ordinary market activity can be wrongly treated as evidence of insider knowledge.
For regulated gaming, market infrastructure and integrity professionals, the issue is no longer only whether prediction markets should be classified as trading, gambling or information markets. Classification matters, but it does not fully answer the operational question: how these markets interact with incentives, media attention, information operations and security-sensitive events.
Guillory’s distinction is important: not every insider is a whale, meaning a large market participant or high-stakes wallet, and not every winner is an insider. That principle matters because poor interpretation can turn market data into noise, while disciplined analysis may help identify signals that deserve escalation.
For operators, regulators, policymakers and market-integrity teams, the emerging challenge is visibility. Prediction markets tied to politics, conflict and diplomacy can create new exposure points where information, incentives and public attention move faster than traditional oversight structures.
The practical lesson is that prediction-market risk cannot be assessed only after a controversial contract appears. It requires monitoring, escalation standards and a clear separation between verified information, market behavior, public narrative and unproven inference.
Source Notes
Guillory referred to BETINT’s primer, The Dawn of Betting Intelligence, as background for his methodology. The article is published by BETINT and presents prediction markets as structured, incentive-layered intelligence systems.
BETINT’s public materials define betting intelligence as the use of betting-market behavior as an intelligence signal of intent, insider knowledge and pending real-world action.
Guillory also referenced an NBC News report concerning large Polymarket positions tied to Vladimir Putin’s future. GamingMarkets treats this as source context for the interview and does not independently verify the underlying wallet attribution, trader intent or market-surveillance conclusions.
Company Context
Sean Guillory supplied background information stating that BETINT works on betting intelligence, prediction markets and security analysis.
BETINT describes betting intelligence as the use of betting-market behavior as an intelligence signal of intent, insider knowledge and pending real-world action.
GamingMarkets has not independently verified BETINT’s client claims, internal surveillance outputs, platform capabilities or commercial product performance. Company information in this article is presented as interviewee-supplied background and public-source context, not as a GamingMarkets endorsement.
About Sean Anthony Guillory
Sean Anthony Guillory, Ph.D. works on betting intelligence, prediction markets and national-security risk.
His work focuses on how non-sports betting and prediction-market behavior may generate intelligence signals, expose information-quality issues and create security concerns when markets are tied to real-world events.
Editorial Clarification
This GamingMarkets Executive Interview was edited for clarity, structure and flow. Sean Guillory’s answers are presented as executive commentary, while GamingMarkets analysis is separated from the interview text.
This is an editorial interview and is not sponsored. Company background information was supplied for this article and is not presented as independently verified third-party endorsement.
Commercial product links supplied in interview material are not included in the editorial body. Source references are used for editorial context only.
This article is published for market-information purposes only and does not constitute legal, investment, gambling, commercial, security, intelligence or regulatory advice.
Related Prediction-Market Risk Brief
This Executive Interview is part of GamingMarkets’ coverage of regulated gaming infrastructure, prediction markets, market integrity and emerging risk.
Readers who need a deeper structured view can request a related market brief covering prediction-market integrity, world-event betting, information-risk indicators, non-sports market exposure, suspicious market behavior, escalation processes and the overlap between betting intelligence and regulated-market infrastructure.
The brief is intended for professional use by operators, suppliers, advisers, investors, compliance teams, integrity professionals and regulated-market participants.
For more GamingMarkets Executive Interviews, visit the Executive Interviews hub.