Cybercrime has always been about one thing: Turning access into money. In the early days, that meant stealing credit cards. Then came identity theft, account takeovers, business email compromise, ransomware, SIM swaps—the toolkit kept evolving, but the goal stayed the same. If there’s a way to extract value, attackers will find it.

What’s changing now is how that value can be extracted. It’s no longer just about stealing money or extorting victims. It’s about profiting from knowing what’s going to happen next—or even better, making it happen.

That’s where prediction markets come in.

Platforms like Kalshi and Polymarket let people bet on real-world outcomes: Will a company disclose a data breach? Will a regulator approve something? What will the temperature be at a specific airport on a specific day? These markets are supposed to reflect collective wisdom about the future.

But here’s the problem: Hackers aren’t just observers of the future—they can see it early or shape it themselves.

We’ve actually seen versions of this before, just not in prediction markets.

In SEC v. Dorozhko, a hacker broke into a system holding embargoed earnings reports and traded on that information before it went public. That’s not so different from betting on an event you already know is coming. The EDGAR hack worked the same way—attackers got early access to corporate filings and traded ahead of disclosure. Even systems like PACER can provide early visibility into lawsuits, indictments, or enforcement actions before they ripple into the broader market.

Now imagine applying that same playbook to prediction markets.

Here are some very real ways attackers could game the system:

• A hacker breaks into a company and discovers a major data breach days before it becomes public. Because companies are required to disclose these incidents (and usually within a predictable timeframe), the hacker can place a bet that the company will announce a breach soon—and win when the disclosure happens.

• Someone finds a vulnerability in a decentralized finance (DeFi) project. Before exploiting it, they place a bet that the project will be hacked. Then they execute the attack. They profit twice: once from the exploit itself, and again from the prediction market.

• An attacker gets early access to sensitive regulatory or corporate information—similar to the EDGAR hack—and bets on outcomes tied to that information. They’re not guessing the future; they already know it.

• In markets tied to physical measurements—like recent bets on temperature at Charles de Gaulle Airport—the “truth” depends on a sensor or data feed. If that system can be hacked or manipulated, the attacker can literally change the outcome by nudging the reported data just enough to win the bet.

• In decentralized prediction markets, outcomes are sometimes determined by “oracles” or voting mechanisms. If someone can influence that process—by controlling votes or manipulating inputs—they can steer the result in their favor after placing a bet.

• Attackers can also combine bets with disinformation. Take a position that something bad will happen to a company, then spread false or misleading information to help make that outcome more likely. It’s not just predicting the future—it’s shaping it.

• Even legal systems can be part of the game. If someone gets early access to nonpublic court filings (through something like PACER misuse), they can bet on whether a lawsuit or indictment will become public within a certain timeframe—and profit when it does.

• Ransomware groups could take this even further. After breaching a company, they could bet on whether the company will disclose the breach or suffer operational disruption, then adjust their tactics—like leaking data—to make sure that happens.

What’s striking is how familiar all of this feels. The tactics—hacking, early access, manipulation—aren’t new. What’s new is the financial layer on top. Prediction markets turn events themselves into assets you can trade.

And there’s an interesting twist: Laws meant to protect us can sometimes make this easier. Data breach disclosure rules, for example, create a predictable window between when something happens and when it becomes public. That predictability can be exploited. If you know disclosure is coming, you don’t need to guess—you need to act before everyone else finds out.

So far, we haven’t seen a headline case where hackers are prosecuted specifically for using prediction markets this way. But we’ve seen all the building blocks. Hackers already steal information early. They already manipulate systems. They already profit from timing. Prediction markets simply connect those dots.

The takeaway is straightforward: These markets assume participants are passive observers trying to forecast the future. But cyber attackers aren’t passive. They’re active participants with the ability to see behind the curtain—or pull the strings.

And when you can both predict the future and influence it, betting on it becomes something very different.

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