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Business
Jun 10, 2026
Analyzed by GPT OSS 120B

Kalshi Requires Job Details to Thwart Insider Trading on Prediction Markets

AI Summary
Kalshi announced new market‑integrity measures, including mandatory employment disclosure for users in high‑risk markets, to curb insider trading. The move follows high‑profile manipulation cases and comes as trading volumes on prediction platforms surge to $24 bn.

Kalshi Rolls Out Job‑Info Screening for High‑Risk Markets

Kalshi will now collect employment details from users trading in markets deemed vulnerable to insider information. The policy, unveiled on June 10, 2026, targets events such as elections, wars, and major sports fixtures where non‑public knowledge could give traders an unfair edge.

  • Job data is required only for markets flagged by a new risk‑scoring algorithm.
  • A dedicated 24/7 whistleblower channel has been added.
  • More than 150 investigations were launched in Q1, blocking over 100 potential insider‑trading cases.

"By implementing these new integrity measures, we continue to lead the industry on the issue of market integrity amongst federally regulated prediction markets," said Robert DeNault, Kalshi’s head of enforcement.

Trading Volume Hits $24 bn as Platforms Scale

A Pew Research Center analysis of data from The Block shows combined monthly trading volume on Kalshi and rival Polymarket reached $24 bn in April, up from under $5 bn in September 2025. The rapid growth underscores why regulators are intensifying scrutiny.

Industry‑Wide Regulatory Implications

The new measures arrive after the US Department of Justice charged a special‑forces soldier for betting on a Venezuelan operation on Polymarket and a Google engineer for exploiting internal data. Kalshi also referred former Congressman George Santos to authorities for wagering on his own attendance at the State of the Union.

These actions signal a tightening regulatory environment for federally regulated prediction markets, which could prompt additional compliance requirements across the sector.

What’s Next for Market‑Integrity Controls?

Analysts expect further enhancements, such as real‑time AI monitoring of trade patterns and broader cross‑platform data sharing with law‑enforcement agencies. If successful, Kalshi’s approach may become a benchmark, encouraging other platforms to adopt similar job‑screening and whistleblower frameworks to safeguard market fairness.