SAP authorization concept in the AI era – more important than ever!

Minimize risks by regulating data access

If you provide your data to external AI applications, perhaps for generating or optimizing reports, program code, or documentation, you need to be clear that this data is being sent to the AI and used to improve it. In the worst case, this could result in data that could be critical for your competitors becoming freely accessible; for example, by using carefully massaged prompts in the same external tool.

We’ve put together an overview of what you can do to ensure your critical data is kept secure:

• Implement a company-wide AI strategy
• Implement general AI awareness for all employees: after all, people can only make the right decisions once they understand where the risks and possibilities lie
• Review the authorization concept:
  • Check the status of your documentation – when was it last updated?
  • Which data do you consider critical? How is access to this data managed and authorized?
  • How are authorization-related responsibilities and processes managed – in theory and in practice?
  • Are access needs tightly controlled based on the “need to know” principle?
  • Do you have an up-to-date overview of access permissions?
  • Are more “traditional” issues handled (segregation of duty, audit-compliant documentation)?

Whatever system you use, always be sure to make use of your most valuable asset:  NI. Natural intelligence.

If you realize that you need to embark on an archaeological search through your permissions, and...

• all your documentation turns out to be out of date;
• you no longer have an overview of what permissions have been issued;
• you haven’t defined your critical data;
• you find other unsatisfactory elements in your permissions model...

Consider it an opportunity to make your authorization concept AI-safe. We’ll help you! Just get in touch.