Human resources
AI in HR. Employee data stays confidential.
Every company processes highly sensitive employee data in HR: personnel files, applicant data, salaries, sick notes and performance reviews. Passing them to third parties has consequences under employment and data protection law. AI-assisted recruiting and workforce planning are booming, often without the data protection officer knowing.
The challenge
Why AI has hardly been permitted here so far.
Relevant regulations
- § 26 BDSG
- Equal Treatment Act (AGG)
- Works agreements
- 01§ 26 BDSG requires strict purpose limitation for employee data.
- 02AI-assisted pre-selection of applicants carries discrimination risks under equal treatment law.
- 03Works agreements often explicitly regulate the use of AI tools.
- 04Salary data, sick notes and warnings are particularly sensitive.
Anonix in practice
What the AI provider actually sees.
The example uses fictitious demonstration data. The placeholders show which information Anonix detects and replaces.
Instruction to the AITurn this internal job description into an external job advertisement.
4personal data items replaced
01 · Your original
Successor for Martin Schäfer, controlling department. Salary: EUR 78,000. Manager: Dr. Lisa Berger. Notice effective 30.06.2026.
02 · Sent to the AI
Successor for [PERSON_1], controlling department. Salary: [AMOUNT_1]. Manager: [PERSON_2]. Notice effective [DATE_1].
03 · Your result
Controller (m/f/d)
Your tasks: budget planning and forecasting, monthly and annual closing, reporting to Dr. Lisa Berger.
We offer: salary EUR 78,000, starting as soon as possible.
Data types detected in this example
- PERSON
- AMOUNT
- DATE
Nothing changes for your staff.
Your software calls the AI as usual. Anonix sits in between, replaces the personal data and puts it back into the response. Integration consists of two changed lines: API address and API key. This works with OpenAI®, Claude® and Gemini® as well as with self-hosted models.
Let’s talk abouthow you useAI.
In a short conversation we show you how Anonix fits your organisation: which providers, which data, which rules. No obligation.