What should I watch out for with AI in banks & fintech?

You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so secure exit and audit rights in writing. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to explain why an alert is or isn't triggered, a human to decide on a report to the FIU, and that you test the model for unequal treatment of customer groups.

Home / Safety / GLM (Z.ai) for banking & fintech

Z.ai (Zhipu AI)

How safe is GLM (Z.ai) for banking & fintech?

GDPR profile for banking & fintechCaution

GLM (Z.ai) raises 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 banks & fintech.

Where does GLM (Z.ai) stand in banking & fintech?

Shared place 20 of 26 options for banking & fintech (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

Good7

Limited4

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: you process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models.

Stronger or equally strong in banks & fintech

SignicatSignicat AS (Trondheim, NO)

IDnowIDnow GmbH (Munich, DE)

PascalVartion B.V. (Amsterdam, NL)

Klippa (Doxis AI.dp)Doxis AI Solutions B.V. (Groningen, NL)

FourthlineFourthline B.V. (Amsterdam, 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 banking & fintech?: 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 banking & fintech. 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 banks & fintech?: You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so secure exit and audit rights in writing. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to explain why an alert is or isn't triggered, a human to decide on a report to the FIU, and that you test the model for unequal treatment of customer groups.

Source documents

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

Everything about GLM (Z.ai) Best AI for banking & fintech

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

Last checked: 1 November 2026 · How we check

Next stepAll 26 options for banking & fintechProfessional tools and general assistants side by side, by GDPR profile, price and quality.

Every Friday: what changed in AI for banking & fintech

New models, prices, oversight and tools, with sources and what it means for you. One email a week, unsubscribe with one click.

View a sample

Your fieldEmail address

We only use your address for this newsletter. You confirm first by email.