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MTS INSIGHTS · 02

Secure Model Use

Business data under control.

Secure model use does not start with the model name. It starts with the question of which data may be used for which purpose.

Classify data before choosing models

Companies should first distinguish which information is public, internal, confidential or especially sensitive.

Roles determine access

Not every person needs access to the same sources. AI use must respect existing permissions, not bypass them.

Outputs need traceability

A good answer is useful only when it remains clear what it is based on and where human review is required.

Security is an operating principle

Secure model use is not a one-time switch. It needs clear processes, ongoing control and documented boundaries.

Concrete business examples

A company allows AI support for internal process documents, but excludes confidential personnel data from general queries.
A team uses AI for drafts and summaries, while every critical step remains marked for review.

CONCLUSION

What follows from this

Controlled AI use connects technology, roles, sources and responsibility. Only then does AI become operationally reliable.

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