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“Where does the data we enter into AI actually end up?”

Graphic for the series “What comes before the AI tool”, part 5/5: “Where does the data we enter into AI actually end up?” This is usually where the room goes quiet.

When this question comes up in a workshop, the room usually goes quiet for a moment.

An old topic suddenly becomes urgent

With AI models, information security becomes more urgent than ever. Every AI tool is a new place where information flows: offers, personnel data, draft contracts, customer lists.

It is not only about technology

It is also about organization:

  • Who has access to what?
  • Which data needs special protection?
  • Which tools are approved?
  • And what happens if something does go wrong?

These are exactly the questions an information security management system according to ISO 27001 answers. If you have one, build AI tools into it. If you don’t, you at least need clear answers to these questions. I described how AI models themselves can help with the preparation in “ISO 27001 preparation: from five weeks to two hours?”.

3 questions for a self-check

  • Do you know which of your data must never go into an AI tool?
  • Is it clear who approves new tools in your company?
  • Could you show your customers within a week how you protect their data?

That’s the end of the series

Direction, processes, rules and security: once these 4 points are clarified, AI models really arrive in everyday work. And you can use them much more boldly. 🔐

The series: What comes before the AI tool

A question for you

Which of the 4 points is still most open for you: direction, processes, rules or security?

Where are you right now?

Let’s find out where you stand.

I’m happy to help you set up a sensible framework here, for example with “Sie sind hier.” (You are here.). In a free 30-minute call, we’ll see whether it fits you.

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