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Are you implementing AI in your company? You should be aware of the risks

Are you implementing AI in your company? The biggest risk isn’t what artificial intelligence can do—it’s what you don’t know about it.

AI isn’t being introduced into companies as a project these days.

It is not based on a roadmap, architecture, or governance.

It comes about in a completely different way.

Developers are making their work easier through automation.
Marketing teams are starting to use AI for content.
Sales teams are sharing documents using various tools.
Individuals are simplifying their work.

And within a few weeks, artificial intelligence will become an integral part of the company.

No rules. No oversight. No visibility.

Something is emerging that is now called “shadow AI.”
A layer of tools, automations, and approaches that is created outside of IT’s control—but works with your company’s data.

The key point here isn’t that you’re using AI.

👉 The key point is that you don’t know how.

“Find out where you stand on AI security”

In most organizations today, there is no clear answer to the following questions:

Who has AI connected to their company’s data?
What kind of data is fed into AI tools?
What permissions and access rights are created in the process?

And that’s where the problem begins.

Artificial intelligence is fundamentally changing the way we work with systems and data.

Suddenly:

  • A single account provides access across systems
  • Sensitive data leaves a controlled environment
  • Automation systems use production data
  • New identities, integrations, and scripts are being created

And all of this often happens without any intention of making a mistake.

All it takes is one wrong setting.
The permission is simply too broad.
Just one integration without verification is enough.

And that creates an opportunity for an incident.

You might be thinking:

“We have an MFA, we have security tools—we’re good.”

But the reality of today’s incidents is different.

They aren’t created by a single attack.

They develop gradually.

Discreetly.

Everyday activities that make sense on their own.

but when combined, they create a situation that you can no longer control.

That is why it is not enough today to focus solely on security tools.

We need to answer one key question:

Where in your environment does AI pose a risk—even before it becomes apparent?

That’s why we’ve put together some practical resources to help you with this.

This isn’t just a theoretical eBook.

This is a quick checklist of principles for the proper implementation of AI in a company, which will show you in just a few minutes:

  • where the most common vulnerabilities occur
  • What’s usually set up incorrectly
  • How to Tell If AI Is Already Affecting the Security of Your Environment

Practically speaking.

For some companies, a checklist is a sufficient first step.

It will help you identify key weaknesses and get a quick overview.

But if today:

  • Can’t you see how the permissions change over time?
  • You are unable to track data processing in context
  • or you don’t have a good understanding of how new identities and automation are created

👉 then it’s not just about the settings anymore.

It’s about visibility across the entire environment.

And a checklist alone cannot do that.

Download the AI Security Checklist and find out where you really stand

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