What should I look out for with AI in occupational health & absence management?

Occupational health and absence data are health data and fall under medical confidentiality. The employer must not see a diagnosis, not even through an AI summary: keep medical and non-medical information strictly separated. Never use a free chatbot for consultations or case files. Sign a data processing agreement (DPA), require processing within the EU, no training on your data, and NEN 7510/ISO 27001, and ask which language models and sub-processors sit behind the service. Ask the employee for consent before any recording. Do not let AI independently assess an individual employee's fitness for work or absence risk: AI systems that influence decisions about employees can be high-risk under the EU AI Act. Check every report before it goes into the file.

Home / Safety / GLM (Z.ai) for occupational health & absenteeism

Z.ai (Zhipu AI)

How safe is GLM (Z.ai) for occupational health & absenteeism?

GDPR profile for occupational health & absence managementCaution

GLM (Z.ai) carries a concrete GDPR concern. Parent company Zhipu (Beijing) falls under Chinese data and security legislation, regardless of where the servers are located. For sensitive data, self-hosting the MIT-licensed weights is the recommended mitigation. Weigh this heavily before deploying it in occupational health & absence management.

Where does GLM (Z.ai) stand in occupational health & absenteeism?

Shared spot 18 of 24 options for occupational health services & absenteeism (professional tools and general assistants) on GDPR profile. 7 options, like GLM (Z.ai) profile, are caution. Each tile is an option we follow for this field; click to check.

Strong9

Good4

Limited3

Unknown1

Caution7

Published safeguards

–EU hosting possibleNot known

–No training on your data (business)Not known

✓Self-hostable (on-premise)Yes

The international service Z.ai runs through JINGSHENG HENGXING TECHNOLOGY PTE. LTD. (Singapore); personal data is in principle processed in Singapore. According to the data processing agreement, API content is processed in real time and not stored. GLM-5.2 is open-weight under MIT and can therefore be fully self-hosted or hosted through an EU provider.

How to use GLM (Z.ai) safely

Use the business variant and sign a data processing agreement (DPA).
Do not enter unnecessary personal data into prompts; anonymise where possible.
Ask the provider explicitly where data is stored and processed.
Keep a professional in the loop: occupational health and absenteeism data is health data and falls under medical confidentiality.

Stronger or equally strong in occupational health & absenteeism

Juvoly (Tandem Health)Juvoly B.V. / Tandem Health (Leiden)

VerticaiVerticai B.V. (Utrecht, the Netherlands)

Bedrijfsarts AIBedrijfsarts AI (Rotterdam, NL)

RapplyRapply V.O.F. (Nijmegen, NL)

Rapasso (LUNA AI-assistent)Rapasso (Eindhoven, NL)

Latest developments

26 October 2026Cloudflare Workers AI: GLM-5.3 leaked 155 answers between customers

Cloudflare reported that GLM-5.3 on Workers AI (@cf/zai-org/glm-5.3) returned data from other customers' requests in 27 answers between 9 August and 2026 September 155. Only prompts above 681,280 tokens were affected; the cause was a KV cache that was too small in the hosting configuration, not the model itself. Cloudflare found no evidence of misuse and fixed it on 9 September. If you used very long prompts containing personal data via Workers AI in that period, assess whether a data breach has occurred. source

Questions

How safe is GLM (Z.ai) for occupational health & absenteeism?: GLM (Z.ai) has a concrete GDPR concern. Parent company Zhipu (Beijing) is subject to Chinese data and security legislation, regardless of where the servers are located. For sensitive data, self-hosting the MIT-licensed weights is the recommended mitigation. Weigh this heavily before using it in occupational health & absenteeism. There is a concrete GDPR concern, read the details on the page.
Does GLM (Z.ai) train on my data?: The international service Z.ai runs through JINGSHENG HENGXING TECHNOLOGY PTE. LTD. (Singapore); personal data is in principle processed in Singapore. According to the data processing agreement, API content is processed in real time and not stored. GLM-5.2 is open-weight under MIT and can therefore be fully self-hosted or hosted through an EU provider.
What should I look out for with AI in occupational health & absence management?: Occupational health and absence data are health data and fall under medical confidentiality. The employer must not see a diagnosis, not even through an AI summary: keep medical and non-medical information strictly separated. Never use a free chatbot for consultations or case files. Sign a data processing agreement (DPA), require processing within the EU, no training on your data, and NEN 7510/ISO 27001, and ask which language models and sub-processors sit behind the service. Ask the employee for consent before any recording. Do not let AI independently assess an individual employee's fitness for work or absence risk: AI systems that influence decisions about employees can be high-risk under the EU AI Act. Check every report before it goes into the file.

Source documents

docs.z.ai z.ai docs.z.ai

Everything about GLM (Z.ai) Best AI for occupational health & absenteeism

Summarised by the editorial team from provider documentation · not legal advice

Last checked: 1 November 2026 · How we check

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