Betting on Cybercrime – Prediction Markets and Hacking

This article warns that prediction markets create a new financialized attack surface where cybercriminals can profit by betting on outcomes they know in advance or can influence — examples include using stolen embargoed filings, exploiting DeFi vulnerabilities then betting on the exploit, manipulating sensor feeds or oracles, and combining bets with disinformation or ransomware leaks. While no specific headline cases are cited, the author argues the technical building blocks (early access, manipulation, predictable disclosure windows) already exist and make these markets vulnerable to abuse.