Prediction Markets Are Under the Global Regulatory Microscope
The prediction market industry is facing a defining moment. Platforms like Polymarket and Kalshi, which allow users to trade on the outcomes of real-world events ranging from elections to economic indicators, are increasingly finding themselves in the crosshairs of regulators worldwide. At the center of this scrutiny is a deceptively complex question: are these platforms doing enough to enforce geographic restrictions, and is geolocation technology even capable of doing the job regulators expect of it?
Trevor Horwitz, founder and CISO of TrustNet, put it plainly: "The first thing to understand is that geolocation controls are risk management controls, not absolute security controls." That distinction matters enormously, because regulators and the public often treat geofencing as a binary solution — either it works or it doesn't — when the reality is far more nuanced.
What Are Prediction Markets and Why Do They Matter?
Prediction markets are platforms that allow participants to buy and sell contracts based on the expected outcome of future events. If you believe a particular candidate will win an election, you can purchase a contract that pays out if you're right. The price of that contract, determined by supply and demand among traders, theoretically reflects the collective wisdom of the market on how likely that outcome is.
Supporters argue that prediction markets are genuinely valuable tools for aggregating information and generating accurate forecasts. Academic research has repeatedly shown that well-functioning prediction markets can outperform traditional polling and expert opinion. They create financial incentives for participants to seek out the best available information, which in theory leads to more accurate probability estimates than you'd get from surveys or punditry alone.
But critics — and many regulators — see something else: a form of speculative betting that skirts gambling laws, creates potential for market manipulation, and can distort public discourse around sensitive political and civic events. This tension has made prediction market regulation one of the thorniest issues in fintech and online gaming law today.
The Geolocation Problem: Risk Management, Not a Silver Bullet
Most prediction market platforms are legally permitted to operate only in certain jurisdictions. In the United States, for example, the regulatory landscape is fragmented, with the Commodity Futures Trading Commission (CFTC) having jurisdiction over some forms of event contracts while state-level gambling laws add another layer of complexity. Platforms are therefore expected to block users from restricted regions, which is typically accomplished through IP-based geolocation technology.
The problem is that geolocation is far from foolproof. Users in restricted regions can deploy a range of workarounds — virtual private networks (VPNs), proxy servers, or Tor — to mask their true location and gain access to platforms they're technically barred from using. This is not a new phenomenon, but as prediction markets have grown in visibility and trading volume, the expectation that platforms actively police these circumvention methods has intensified.
As Horwitz notes, geolocation controls were never designed to be impenetrable barriers. They are, at best, a deterrent and a compliance signal — evidence that a platform is making reasonable efforts to restrict access in line with applicable laws. But "reasonable efforts" is a standard that regulators are now scrutinizing much more carefully, and the gap between what technology can deliver and what regulators expect is becoming a serious liability for the industry.
How Regulators Are Responding Worldwide
The regulatory pressure on prediction markets is not limited to the United States. Across Europe, Asia, and other regions, authorities are increasingly asking hard questions about how event-based trading platforms verify user location and identity. Several key trends are shaping the regulatory environment:
- Heightened enforcement actions: Regulators in multiple jurisdictions have begun issuing formal inquiries and, in some cases, enforcement actions against platforms that fail to demonstrate robust geolocation and know-your-customer (KYC) controls.
- Pressure on crypto-native platforms: Decentralized prediction markets built on blockchain infrastructure present a particular challenge, since their permissionless architecture makes geographic restrictions technically difficult to impose at the protocol level.
- Demand for layered compliance: Rather than relying solely on IP geolocation, regulators are increasingly expecting platforms to layer multiple verification methods, including identity documents, payment method verification, and behavioral analytics.
- Cross-border coordination: Financial regulators are sharing intelligence and coordinating enforcement more effectively than in the past, meaning that platforms can no longer assume that operating from a permissive jurisdiction insulates them from scrutiny elsewhere.
What Prediction Market Platforms Must Do to Adapt
For platforms like Polymarket and Kalshi, the path forward requires a fundamental shift in how compliance is framed internally. Geolocation cannot be treated as a checkbox exercise. Instead, platforms need to invest in genuinely layered compliance infrastructure that combines technical controls with operational processes and ongoing monitoring.
This means regularly auditing the effectiveness of geolocation systems, monitoring for patterns that suggest VPN or proxy usage, integrating KYC and anti-money laundering (AML) workflows, and maintaining clear documentation of compliance efforts that can be presented to regulators on demand. It also means engaging proactively with regulators rather than waiting for enforcement to arrive.
The platforms that will survive and thrive in an era of tightened regulatory scrutiny are those that treat compliance as a core product feature rather than a cost center. Given the scale at which prediction markets now operate — with billions of dollars in trading volume during major events — the stakes for getting this wrong have never been higher.
The Broader Stakes for the Prediction Market Industry
The geolocation reckoning facing prediction markets is, at its core, a maturity test for a young industry. The early, relatively freewheeling days of prediction market growth are giving way to a new phase where regulatory legitimacy will determine which platforms endure and which are forced to shut down or dramatically restructure.
That is not necessarily a bad thing. Greater regulatory clarity, even if it comes with compliance costs, could ultimately benefit the industry by building the public trust that serious institutional participation requires. If prediction markets are to fulfill their promise as accurate forecasting tools and legitimate financial instruments, they need to demonstrate that they can operate responsibly within the law — and that starts with taking geolocation compliance seriously, even when the technology's limits make that a genuinely difficult challenge.
As regulators worldwide tighten their grip, the message to prediction market operators is clear: evolve your compliance posture now, or face the consequences later.