Prediction Markets Are Under the Regulatory Microscope
Across the globe, regulators are turning a sharper eye toward prediction market platforms, and the central question is no longer just whether event-based trading is legal — it's whether these platforms are doing enough to enforce the geographic boundaries that determine who can legally participate. Platforms such as Polymarket and Kalshi have surged in popularity in recent years, offering users the ability to bet on the outcomes of real-world events ranging from election results to economic indicators. But that surge in visibility has come with an uncomfortable side effect: intensifying regulatory scrutiny over geolocation controls.
As Trevor Horwitz, founder and CISO of TrustNet, puts it: "The first thing to understand is that geolocation controls are risk management controls, not absolute security controls." That distinction is critical. It reframes the entire debate — from a binary question of whether platforms are compliant to a more nuanced conversation about how robust their risk mitigation strategies actually are.
What Are Prediction Markets and Why Do They Matter?
Prediction markets are platforms where participants can trade contracts based on the outcomes of future events. The prices on these markets act as real-time probability estimates, reflecting the collective intelligence of all participants. Supporters argue that prediction markets serve a genuine public good: they aggregate dispersed information, produce reliable forecasts, and allow individuals to hedge against uncertainty. In some cases, academic research has shown prediction markets to be more accurate than traditional polling or expert forecasting.
But critics, and increasingly regulators, raise a different set of concerns. When prediction markets allow users to trade on political elections, sporting events, or even geopolitical developments, the line between financial forecasting and gambling becomes harder to define. That ambiguity sits at the heart of the current regulatory tension — and it's why geolocation enforcement has become such a flashpoint.
The Geolocation Problem: More Complex Than It Sounds
Geolocation technology is the primary tool platforms use to restrict access by geography. If a user attempts to access a prediction market from a jurisdiction where such trading is prohibited, the platform is supposed to detect that and block the user. In practice, this is far more complicated than it sounds.
VPNs, proxy servers, and other IP-masking tools allow determined users to circumvent geographic restrictions with relative ease. A user physically located in the United States — where the Commodity Futures Trading Commission (CFTC) has historically regulated event contracts — could potentially access a platform nominally restricted to their jurisdiction, or bypass restrictions entirely using offshore infrastructure. Conversely, legitimate users traveling internationally might find themselves incorrectly blocked due to imprecise geolocation data.
This is precisely why Horwitz's framing matters so much. Geolocation is a layer of risk management, not an impenetrable wall. Platforms that treat it as a checkbox compliance item, rather than an ongoing, multi-layered risk strategy, are increasingly finding themselves on the wrong side of regulatory expectations.
Regulatory Pressure Is Building on Multiple Fronts
The regulatory scrutiny facing prediction markets is not coming from a single jurisdiction or body — it is a genuinely global phenomenon, and that makes compliance considerably more challenging. In the United States, the CFTC has historically had authority over prediction markets that involve commodities or financial instruments, but the rapid evolution of the market has outpaced existing regulatory frameworks. Meanwhile, in the European Union, the Markets in Crypto-Assets (MiCA) regulation and broader financial services laws create their own compliance obligations for platforms operating in or accessible to EU residents.
In the United Kingdom, the Financial Conduct Authority has taken a cautious approach toward event-based trading, and several other countries — including Australia and parts of Southeast Asia — have their own distinct regulatory stances. For a prediction market platform with a global user base, navigating this patchwork of requirements is a significant operational and legal challenge. Getting geolocation wrong in even one jurisdiction can trigger enforcement action, reputational damage, or outright bans.
What Effective Geolocation Compliance Actually Looks Like
For prediction market platforms serious about compliance, geolocation enforcement needs to go well beyond simply checking an IP address at login. A more robust approach typically involves several layered strategies working in combination:
- Multi-signal geolocation verification: Using GPS data, device location settings, payment method geography, and IP address in combination rather than relying on any single signal reduces the chance of circumvention or false positives.
- Continuous monitoring rather than one-time checks: Verifying location only at account creation is insufficient. Ongoing session-level checks help detect users who may have changed their apparent location mid-session.
- VPN and proxy detection tools: Dedicated technology that identifies the use of anonymizing software adds another layer of protection against deliberate circumvention attempts.
- KYC and identity verification integration: Combining geolocation data with Know Your Customer processes allows platforms to cross-reference a user's stated identity and location against behavioral signals, creating a more complete compliance picture.
- Regular audits and third-party assessments: Because both technology and regulatory expectations evolve, platforms need to continuously test and audit their geolocation systems rather than treating them as set-and-forget infrastructure.
The Broader Stakes for the Prediction Market Industry
The geolocation reckoning now underway has implications that stretch well beyond individual platform compliance. If prediction markets cannot convincingly demonstrate that they are enforcing geographic restrictions effectively, they risk undermining the broader argument that such platforms deserve regulatory recognition and legal frameworks tailored to their unique characteristics.
Supporters of prediction markets have long argued that with appropriate oversight, these platforms can function as legitimate financial tools with real informational value. But that argument becomes harder to sustain if platforms are seen as either incapable of, or indifferent to, enforcing the rules that regulators and lawmakers consider foundational. In that scenario, the most likely outcome is not tailored regulation but blunt prohibition.
For platforms like Polymarket and Kalshi, and for the dozens of competitors and emerging players in this space, the message from regulators worldwide is becoming increasingly clear: geolocation compliance is not optional, it is not peripheral, and it will be tested. How the industry responds to that challenge in the months ahead may well determine whether prediction markets earn a lasting place in the mainstream financial landscape — or become another cautionary tale about what happens when innovation outruns accountability.
Looking Ahead: Compliance as Competitive Advantage
Paradoxically, the tightening regulatory environment may ultimately benefit the prediction market platforms that take compliance most seriously. As enforcement actions increase and less rigorous operators face consequences, the platforms that have invested in robust geolocation infrastructure, transparent compliance frameworks, and proactive regulatory engagement are likely to emerge with stronger reputations and more durable business models. In a market where trust is a fundamental product, getting geolocation right is not just a legal necessity — it may be the most important strategic investment a platform can make.