Prediction market platform Kalshi has announced a major upgrade to its anti-insider trading and market surveillance framework ahead of the Super Bowl, one of the most closely watched sporting events in the United States. The move signals a stronger compliance posture as user activity surges around high-profile event contracts.
According to the company, Kalshi is expanding its enforcement and monitoring structure by bringing in senior figures with expertise in forensic analysis, financial compliance, and market integrity. Daniel Taylor of the Wharton Forensic Analytics Lab will help review complex insider trading cases, while former U.S. Treasury Under Secretary for Terrorism and Financial Intelligence Brian Nelson will advise on compliance and integrity matters.
External expertise and stronger surveillance tools
Kalshi is also strengthening its active surveillance system, known as Poirot, through a partnership with Solidus Labs. The company said the collaboration is designed to enhance its internal controls and provide institutional-grade protection against sophisticated manipulation across its 4,000+ markets.
CEO Tarek Mansour used the announcement to reject the argument that insider information can improve prediction market accuracy. He said the same reasoning could be applied to equities markets, where insider trading remains prohibited. The comment appeared to push back on earlier remarks from Polymarket founder and CEO Shayne Coplan, who had said insider traders can bring “a lot of benefits” to prediction markets.
Super Bowl activity raises the stakes
The timing is notable. Kalshi unveiled the measures just days before the Super Bowl, an event that typically drives heavy engagement on prediction platforms. The report said users had already committed more than $169 million on a single market tied to the game’s outcome. Related side markets, including bets on the opening song of the halftime show, have also drawn strong participation.
The announcement also comes after recent controversy involving Kalshi’s response to a report claiming users lose more money on prediction markets than on gambling sites. The company initially described the report as “extortion,” but later withdrew that accusation, saying that after further review it did not believe extortion was the intent. Against that backdrop, Kalshi’s latest compliance push appears aimed at reinforcing trust with both users and regulators during a period of heightened attention.