Home / Safety / GLM (Z.ai) for radiology & medical imaging

Z.ai (Zhipu AI)

How safe is GLM (Z.ai) for radiology & medical imaging?

GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hostable. Caution means a model with a documented issue, such as an investigation by a regulator. How we measure for radiology & medical imagingCaution

GLM (Z.ai) raises a specific 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 deploying it in radiology & medical imaging.

Where does GLM (Z.ai) stand in radiology & medical imaging?

Shared spot 20 of 26 options for radiology & medical imaging (professional tools and general assistants) on GDPR profile. 7 options share the GLM (Z.ai) profile: caution. Each tile is an option we track for this field; click for the check.

Strong5
Good1
Limited11
Unknown2
Caution7

Stronger or equally strong in radiology & medical imaging

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 radiology & medical imaging?
GLM (Z.ai) has a concrete GDPR concern. Parent company Zhipu (Beijing) is subject to Chinese data and security legislation, wherever the servers are located. For sensitive data, self-hosting the MIT-licensed weights is the recommended mitigation. Weigh this heavily before deploying it in radiology & medical imaging. 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 radiology & medical imaging?
Image analysis AI is a medical device: only use software with a CE marking under the MDR (class IIa or higher) for the exact purpose you deploy it for, and document how you validate and keep monitoring performance locally. You process special category personal data: ask where images are processed (on-premise, EU cloud or outside), whether they are pseudonymised and whether they are used for training, and sign a data processing agreement. Many vendors run on AWS or Azure or have been acquired by US groups, so check the current data location. The radiologist remains ultimately responsible for the report.

Source documents

Everything about GLM (Z.ai) Best AI for radiology & medical imaging

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

Last checked: 1 November 2026 · How we check

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