Kalshi Implements Employer Disclosure Rules on High-Risk Prediction Markets to Screen Presumptive Insiders

Kalshi will require users to reveal where they work when attempting to place bets on markets with heightened insider or manipulation risk. The platform introduced the new measures on Tuesday and said it will apply them to markets it considers likely to face higher risks of insider trading and abuse.

Kalshi will use the collected work information to identify presumptive insiders and screen them out before a trade is placed.

It will also use a risk scoring method to identify markets that appear more at risk of manipulation or insider trading. Kalshi will run an assessment on the national security risk a market might present before listing it. " Kalshi made more than 20 referrals to law enforcement of possibly illegal trading activity in the first quarter of 2026 after opening more than 150 of its own investigations.

Candidates for Congress from Minnesota, Texas, and Virginia bet on their own races earlier in 2026. Former Congressman George Santos is currently being investigated for alleged insider trading on Kalshi. A Google employee was charged with insider trading last month for using company information to place bets on Polymarket.

U.S. special forces soldier allegedly made successful bets on Kalshi regarding the removal operation of Venezuelan President Nicolás Maduro earlier in 2026 and has pleaded not guilty. The White House warned staff not to use insider information to place bets on prediction markets earlier in 2026.

Prediction markets like Kalshi are regulated as trading and allowed to operate in all 50 states. Kalshi lets users bet against each other on elections, sporting events, and culture. An example of a high-risk market is a possible trade on whether OpenAI or Anthropic will go public first.