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Z.ai (Zhipu AI)

How safe is GLM (Z.ai) for renewable energy & the energy transition?

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-hosting available. Caution is given to a model with a documented issue, such as an investigation by a regulator. How we measure for sustainable energy & energy transitionCaution

GLM (Z.ai) raises 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 deploying it in renewable energy & energy transition.

Where does GLM (Z.ai) stand in renewable energy & the energy transition?

Shared place 22 of 28 options for renewable energy & the energy transition (professional tools and general assistants) on GDPR profile. 7 options, like GLM (Z.ai) profile, have Caution. Each tile is an option we follow for this field; click to check.

Strong7
Good2
Limited8
Unknown4
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: customer and project data (address, energy consumption, financing) is personal data under the GDPR.

Stronger or equally strong in sustainable energy & energy transition

OpusFlowOpus4All B.V. (Deventer, NL)ReonicReonic GmbH (Augsburg, DE)Siemens Building XSiemens Smart Infrastructure (Munich, Germany)GradyentGradyent B.V. (Rotterdam, NL)ACCURE Battery IntelligenceACCURE Battery Intelligence GmbH (Germany, Aachen)

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 renewable energy & the energy transition?
GLM (Z.ai) has 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 sustainable energy & the energy transition. 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 watch out for with AI in renewable energy & energy transition?
Client and project data (address, energy consumption, financing) are personal data under the GDPR. Only use systems with a data processing agreement and EU hosting; check whether cloud platforms use technical installation data for model training. Yield calculations and subsidy applications are binding, have a qualified installer verify all AI output before use. ISDE and SDE++ subsidy rules change regularly; link AI calculations to current subsidy sources.

Source documents

docs.z.aiz.aidocs.z.ai

Everything about GLM (Z.ai) Best AI for renewable energy & energy transition

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

Last checked: 1 November 2026 · How we check

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