Pentagon Bans Insider Betting on Military Operations
US Defense Secretary Pete Hegseth has issued a formal directive prohibiting all Department of Defense personnel from using nonpublic military intelligence to place wagers on prediction market platforms. The order, sent to senior Pentagon and defense agency officials, marks a clear application of insider-dealing logic to a new class of digital financial instrument, and it carries practical implications for any compliance team tracking AML typologies and the regulatory perimeter of crypto-adjacent platforms.
What the Directive Actually Says
The memo bars all Department of Defense personnel from entering financial transactions that rely on information not available to the general public, covering both classified and formally unclassified nonpublic material. Prediction market platforms are named explicitly as venues where this prohibition applies.
The dual rationale: security and incentive distortion
Hegseth set out two distinct concerns in the directive. The first is operational security. In his words, adversaries watch movements in prediction markets, and unusual price action ahead of a military operation can telegraph intent. The second concern is subtler and, from a compliance standpoint, arguably more significant: financial stakes warp judgment. A logistician with a position on a strike date has a personal interest in that date. An analyst betting on a geopolitical outcome has a reason to shade their assessments. The conflict of interest does not have to be conscious to be corrosive.
Scope of the ban
The directive covers all Department of Defense personnel, not just intelligence officers or those with formal security clearances. The inclusion of unclassified nonpublic information is notable: it means the bar is not simply about protecting secrets in the formal classification sense, but about preventing any informational advantage derived from a privileged position inside government from being monetised through financial markets.
The Case That Prompted the Action
The directive follows a criminal case involving a US Army soldier identified as Gannon Ken Van Dyke. Prosecutors allege Van Dyke had direct involvement in planning and executing the operation to capture Venezuelan President Nicolás Maduro, then used his advance knowledge of the operation's timing and intended outcome to place wagers on a prediction market, earning more than $400,000 in the process.
A parallel case in Israel
The US case was not isolated. In February, Israeli authorities arrested a military reservist and a civilian on allegations of using classified information about Israeli military strikes on Iran to place bets on a prediction market. Two jurisdictions, two criminal proceedings, and the same basic fact pattern: privileged access to nonpublic information about military operations, converted into financial gain through a digital betting platform.
That pattern is exactly the kind of cross-border typology that AML supervisors and financial intelligence units are trained to identify, and the emergence of near-identical schemes in separate countries within months of each other is precisely the trigger for regulatory escalation.
Why Prediction Markets Are Now a Compliance Priority
Prediction markets occupy an unusual position in the regulatory landscape. Platforms such as Kalshi and Polymarket allow users to buy and sell contracts whose value is tied to the probability of real-world events: election outcomes, economic data releases, and, increasingly, geopolitical and military events. In the United States, the Commodity Futures Trading Commission has jurisdiction over at least some of these instruments, treating event contracts as a form of derivative.
The insider-trading analogy
Traditional securities law prohibits trading on material nonpublic information. The Pentagon directive applies the same logic to prediction markets: using privileged government knowledge to take positions on event contracts is treated as an abuse of access, regardless of whether those contracts are classified as securities, derivatives, or something else entirely. This framing matters because it suggests regulators and enforcement agencies are willing to reach for existing legal theories even where bespoke prediction-market rules do not yet exist.
The crypto adjacency
Polymarket in particular operates on a blockchain infrastructure and settles in stablecoins, which means that transactions on the platform generate an on-chain record. That record is, in principle, fully traceable. The Van Dyke case illustrates that on-chain settlement does not confer anonymity; it creates a permanent audit trail that prosecutors can and do follow. For compliance teams advising clients who operate in or around prediction market infrastructure, this is a significant data point: the transparency of blockchain settlement can cut both ways.
AML and Compliance Implications for Practitioners
The Pentagon directive and the associated criminal cases raise several concrete questions for accounting firms, compliance officers, and CFOs whose clients touch prediction market platforms or the broader category of event-based digital asset instruments.
Customer due diligence and source-of-funds checks
Any firm providing accounting, audit, or compliance services to a prediction market platform, or to a business that accepts prediction market winnings as income, needs a clear view of where large or unusual payouts originate. A payment of $400,000 settling from a prediction contract tied to a geopolitical event is exactly the kind of transaction that warrants enhanced due diligence under existing Bank Secrecy Act obligations. The fact pattern in the Van Dyke case, large win, short time horizon, event directly connected to the bettor's professional role, maps onto standard suspicious activity indicators.
Suspicious activity reporting
Financial institutions and money services businesses with exposure to prediction market flows should review whether their SAR filing policies are calibrated for this category of transaction. A winning position on a military or geopolitical event contract, placed shortly before the event, by an account whose profile is consistent with government or intelligence work, is a combination of red flags that existing AML frameworks are equipped to handle, provided that the compliance team has thought through the typology in advance rather than encountering it for the first time during a transaction review.
Record-keeping for crypto-settled contracts
Where prediction market contracts settle on-chain in stablecoins or other digital assets, the record-keeping obligations that apply to digital asset transactions also apply to the proceeds. Firms using crypto accounting software to track client digital asset positions should ensure that prediction market settlements are captured in the same ledger workflows as exchange trades or DeFi yields. The regulatory treatment of winnings, whether as ordinary income, derivative gains, or gambling proceeds, remains unsettled in some jurisdictions, but the obligation to record and report them is not. For a deeper look at how AML enforcement is evolving across digital asset categories, the recent analysis of FinCEN's warnings on fraud risks at crypto kiosks provides useful context on how financial intelligence units are building out their typology libraries.
Governance and conflict-of-interest policies
The Pentagon directive raises a point that goes beyond government employment. Any organisation whose staff have access to material nonpublic information, including publicly traded companies, financial institutions, and professional services firms, should consider whether existing conflict-of-interest and personal account dealing policies extend to prediction market positions. Most such policies were written before event contracts on geopolitical outcomes became a mainstream product. A policy review is low-cost; a regulatory or reputational incident is not.
The Broader Regulatory Direction
The Pentagon action does not change the law. It is an internal Department of Defense directive, not a statute or a regulatory rule. But it is a strong signal about the direction of travel. When a government agency with no direct financial regulatory mandate feels compelled to issue explicit guidance on prediction market trading, it reflects a recognition that these platforms have become material enough to create real risks, whether to operational security, market integrity, or the incentive structures of decision-makers.
What regulators are likely watching
The CFTC has been the primary US regulator engaging with prediction markets, and the Van Dyke case adds another data point to a body of evidence that event contracts tied to sensitive nonpublic information can be abused. It would be consistent with recent enforcement trends, described in detail in the analysis of AML enforcement trends in digital asset markets, for regulators to move toward more explicit disclosure and conduct rules for prediction market platforms, including requirements around KYC, suspicious transaction monitoring, and the handling of large or anomalous payouts.
For accounting firms and compliance teams, the prudent posture is to treat prediction market platforms as firmly within scope for digital asset AML frameworks, not as a peripheral category to be addressed once formal rules arrive. The enforcement actions already underway make clear that regulators and prosecutors are not waiting for bespoke legislation.
Frequently Asked Questions
Does the Pentagon directive apply to civilian contractors as well as military personnel?
The directive as reported covers Department of Defense personnel broadly, which typically includes civilian employees of the department. Whether it extends to contractors depends on the specific terms of their contracts and any accompanying guidance issued by individual agencies. Contractors handling classified or sensitive information are generally subject to equivalent restrictions under their security agreements.
Are prediction market winnings taxable in the United States?
Yes. The IRS treats gambling and wagering winnings as ordinary income. Where prediction market contracts are classified as derivatives or notional principal contracts, different tax treatment may apply, but in either case the proceeds are generally taxable. The specific treatment depends on the nature of the contract and the platform's regulatory status. Accounting teams should document the basis and character of any prediction market gains or losses carefully, as the area remains subject to regulatory interpretation.
How does on-chain settlement affect AML obligations for prediction market payouts?
On-chain settlement creates a permanent, publicly accessible record of transactions. For AML purposes, this means that large or unusual payouts are traceable in ways that cash settlements are not. Financial institutions and money services businesses that receive prediction market proceeds as deposits or transfers should apply the same source-of-funds due diligence they would to any digital asset receipt, including assessing whether the transaction pattern is consistent with the account holder's known profile and risk rating.
What should compliance teams do if a client discloses prediction market trading as a source of funds?
The appropriate response depends on the size, frequency, and nature of the trading. Standard CDD and source-of-funds documentation applies. Where the amounts are significant, or where the client's professional background raises any possibility of access to nonpublic information, enhanced due diligence is warranted. If the transaction pattern triggers SAR thresholds under the Bank Secrecy Act, those obligations should be followed regardless of whether the underlying activity has been charged as a criminal offence.
Does this development affect how crypto accounting software should categorise prediction market settlements?
Prediction market settlements paid in stablecoins or other digital assets should be recorded as digital asset receipts in the same way as any other on-chain inflow. The income character, ordinary income, derivative gain, or gambling proceeds, may differ and should be determined in consultation with a tax adviser familiar with the platform's regulatory classification. What should not be left unresolved is the recording obligation itself: every on-chain settlement needs to be captured, valued at the time of receipt, and included in the relevant accounting and tax workflows.
Source: Cointelegraph