What should I look out for with AI in water management?

Water management is critical infrastructure: water boards and drinking water companies fall under the NIS2 rules (in the Netherlands, the Cyber Security Act), and an AI system that runs as a safety component in water management may count as high risk under the AI Act. So ask about certification, data storage and who keeps control during an outage. HULO is ISO 27001 certified, holds the SC30 NIS2 mark, stores data in the client's region and does not train on client data. TaKaDu (Spain) is ISO 27001 certified. KISTERS WISKI can run on-premise. With many other providers, such as Qatium, Siemens and FIDO Tech, the hosting location is not publicly stated: record it in the data processing agreement. Personal data mainly sits in consumption data from smart water meters; keep it separate from network data where possible.

Home / Safety / GLM (Z.ai) for water management

Z.ai (Zhipu AI)

How safe is GLM (Z.ai) for water management?

GDPR profile for water managementCaution

GLM (Z.ai) raises a concrete GDPR point. 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 using it in water management.

Where does GLM (Z.ai) stand in water management?

Shared place 19 of 25 options for water management (professional tools and general assistants) on GDPR profile. 7 options, like GLM (Z.ai), have a Caution profile. Each tile is an option we track for this field; click for the check.

Strong6

Good4

Limited4

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: water management is critical infrastructure: water boards and drinking water companies fall under the NIS2 rules (in the Netherlands, the Cybersecurity Act), and an AI system running as a safety component in water management may count as high risk under the EU AI Act.

Stronger or equally strong in water management

SIWA Leak FinderSiemens AG (Munich, Germany)

InfoTilesInfoTiles AS (Stavanger, Norway)

HULOHULO B.V. (Leeuwarden, Netherlands)

AquasuiteRoyal HaskoningDHV / Haskoning (Amersfoort, Netherlands)

QatiumDeep Tech Solutions SL (Castellón, Spain)

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 water management?: GLM (Z.ai) has a specific GDPR concern. Its parent company Zhipu (Beijing) falls under Chinese data and security law, 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 water management. There is a specific 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 water management?: Water management is critical infrastructure: water boards and drinking water companies fall under the NIS2 rules (in the Netherlands, the Cyber Security Act), and an AI system that runs as a safety component in water management may count as high risk under the AI Act. So ask about certification, data storage and who keeps control during an outage. HULO is ISO 27001 certified, holds the SC30 NIS2 mark, stores data in the client's region and does not train on client data. TaKaDu (Spain) is ISO 27001 certified. KISTERS WISKI can run on-premise. With many other providers, such as Qatium, Siemens and FIDO Tech, the hosting location is not publicly stated: record it in the data processing agreement. Personal data mainly sits in consumption data from smart water meters; keep it separate from network data where possible.

Source documents

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

Everything about GLM (Z.ai) Best AI for water management

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

Last checked: 1 November 2026 · How we check

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