Somewhere in your organization right now, a person is pasting a document or spreadsheet into ChatGPT and asking it to “clean this up.” Here’s the problem: when you give AI vague instructions like “clean this up,” you leave it to fill in the blanks on its own. Because AI tools follow their own rules and can ignore boundaries you set, it can go much further than you intended, sometimes exposing private information along the way.
Modern AI tools plug into your inbox, your files, and your business applications, because the more information it can access, the more useful it becomes. The catch is that the same access that lets an AI tool draft your emails also lets it read every email you’ve ever received. Most of the time it writes the email you want, but it could also write and send something you never intended.
Two major AI companies recently learned that AI doesn’t automatically know where to stop. OpenAI ran one of its lab models through a cybersecurity test, and the model decided the fastest way to pass the test was to break out of the safe testing environment it was supposed to stay inside and hack into a real company to steal the answers. No one at OpenAI noticed this for more than a week. Anthropic found something similar when it reviewed its own records. One of its test models also broke out and hacked into real companies due to what Anthropic termed a “miscommunication.” One time, it caught itself and stopped. Two other times it kept going, and in one case uploaded a harmful piece of software that slipped past security checks. Fifteen people downloaded it before anyone noticed.
Traditional software does only what its instructions tell it to do and does it the same way every time. AI doesn’t work that way. Ask it the same question twice, and you can get two different answers. The way it behaves can change any time the company behind it makes an update. That means you can’t pin down exactly what an AI tool will or won’t do because it keeps shifting. That flexibility is great when you want help researching a topic, writing a document, or troubleshooting a problem. The same flexibility turns dangerous the moment it exposes private information, follows harmful instructions it picks up online, or breaks into systems it was never supposed to touch.
Here’s what you can do to protect your organization:
- Set an AI usage policy: Spell out which AI tools are approved, what employees should never use AI for, and what every employee is responsible for. Without a written policy, nothing is guiding how people use AI.
- Use business-grade enterprise AI tools with real data protection: Paid business and team plans usually keep your information out of the AI’s training data and give you extra security controls that free versions don’t offer.
- Limit what systems AI can access: Give AI connected to your emails, files, and business systems the least access it needs to do its job and check those connections regularly.
- Log and monitor AI usage: Keep track of how employees use AI. You can only catch misuse if you can see how your team is using the tools.
- Train employees to use AI safely: Good security always comes down to people. AI is new enough that everyone needs guidance about how to get value from it without putting the organization at risk.
Used the right way, with the right guardrails, AI becomes an asset to your team instead of a liability. The organizations that stay safe are the ones that treat AI like a capable helper who still needs supervision, not one left to work alone.
If you’d like help building an AI usage policy or reviewing how your team’s tools are set up, reach out to us at [email protected].
