monday.com AI & Data Privacy: What You Really Need to Know

monday.com uses several models from Anthropic, OpenAI, and Google for its AI features, delivered through Microsoft Azure, AWS Bedrock, and Google Vertex. These providers operate under Zero Data Retention agreements: your data is not stored and not used to train the models. monday AI also respects your account's existing permissions, encrypts data with TLS 1.3 and AES-256, and processes it in the same data region configured for your monday.com account. To demonstrate its security standards, monday.com points to certifications such as ISO/IEC 27001, SOC 2 Type II, and ISO/IEC 27701.
Posted on
August 6, 2026

Diese Version des Artikels ist auf Deutsch verfügbar: monday.com AI & Datenschutz.

Why data privacy matters with AI tools

Once AI features gain access to project data, customer data, or internal documents, every company faces the same question: where does this data end up, who processes it, and is it reused for training somewhere? At monday.com this potentially affects every area – from AI-assisted text generation in boards to agents that carry out tasks independently. Anyone using or planning to introduce monday AI in their company should therefore know how data processing actually works behind the scenes – not just what the marketing says, but what the official trust and support documentation states.

How does monday AI process your data?

Which AI models power it?

monday.com relies on a multi-provider strategy. The models in use come from Anthropic (Claude series, e.g. Sonnet and Haiku), OpenAI (GPT series), and Google (Gemini). In addition, Sentence Transformer models (all-MiniLM-L6-v2, ms-marco-MiniLM-L6-v2) are used, which monday.com hosts itself on AWS. The large language models run via Google Vertex, AWS Bedrock, Microsoft Azure AI, or through direct integrations with the respective providers. Before any model provider is used at all, monday.com states it undergoes a vetting process by its own security and legal teams.

Zero Data Retention: no training on your data

The key point for data privacy: monday.com states that its AI model providers operate under Zero Data Retention agreements. This means providers do not store any customer data processed through monday AI. monday.com's agreements additionally exclude the use of customer data for model training or for any purpose other than processing the specific request. Where a model runs on infrastructure controlled by monday.com itself (such as AWS Bedrock, Azure AI, or Vertex), the model providers state they have no access to customer data at all.

Important context: the content you input into monday AI, as well as the generated output, remains your property. monday.com claims no rights to it.

Permissions, encryption, and data residency

AI respects existing permissions

monday AI does not access boards or columns a user isn't authorized to see. AI features follow the existing access rights within the account – a team member without access to a specific board also won't have data from it displayed or generated via AI.

Encryption to industry standard

Data processed through monday AI is, according to monday.com, encrypted both in transit (TLS 1.3) and at rest (AES-256). This encryption matches the standards monday.com applies across the rest of its product suite – it isn't a separate, weaker safeguard just for AI features.

Data residency follows your account setting

AI data is processed and stored in the same region configured for the respective monday.com account. For companies that require a specific data region for contractual or compliance reasons, this setting also applies to AI processing. Details on the sub-processors involved can be found in monday.com's Sub-Processor List.

What does this mean for Swiss companies?

For Swiss SMEs subject to the revised Data Protection Act (nDSG), three points matter most: where data is processed (data residency), whether subcontractors are involved (Sub-Processor List), and whether the data processing agreement aligns with your own compliance requirements. monday.com states GDPR compliance on its website – this covers many requirements that overlap with the Swiss nDSG, but it does not replace your own review. If you plan to use AI features on data requiring special protection in your company (e.g. personal data of customers or employees), it's worth reviewing the current Sub-Processor List and monday.com's data processing agreement rather than relying on general statements alone.

Certifications and governance behind the scenes

monday.com references several certifications that also apply to AI processing: ISO/IEC 27001, SOC 2 Type II, and ISO/IEC 27701. For healthcare organizations, monday AI can also be used in a HIPAA-compliant way, provided a Business Associate Agreement (BAA) has been signed.

monday.com also describes internal quality assurance processes: new AI features are tested before going live, an internal red team actively tries to find vulnerabilities and ways to circumvent safeguards, and features continue to be monitored after rollout. Technically, this is preceded by a gateway layer that includes rate limits, token limits, and moderation and security checks.

Where monday AI has clear limits

Not everything technically possible is intended for monday AI. According to the official terms of use, monday AI may not be used to develop competing AI models or services, to engage in unlawful or harmful activities, to misrepresent AI-generated content as human-created, or to make fully automated decisions with significant impact on individuals without appropriate safeguards and transparency. Also excluded: personalized financial, legal, or medical advice that would normally require a licensed professional. You currently cannot bring your own AI model or your own API key into monday AI.

Can you opt out of this data use?

monday.com states it may temporarily access content for a limited period (up to 60 days) to monitor and improve AI features – for example to detect harmful or unlawful activity. This data is not shared with third parties and is not used for training. Anyone who does not want this temporary access can request an opt-out by emailing ai-support@monday.com or contacting their account representative. This request can only be submitted by Admins, and processing takes up to 5 business days according to monday.com. If multiple accounts are linked to the same email address, the request must specify which account the opt-out should apply to.

Our recommendation from practice

As a monday.com Platinum Partner, we at Blinno regularly see companies activate AI features without first clarifying which boards and data are actually affected. Our recommendation: before introducing AI, review and clean up the account's permission structure, check the data residency setting, and – if sensitive personal data is involved – go through the opt-out process and the Sub-Processor List in advance. This ensures AI features operate within your compliance requirements from day one, instead of having to correct this afterward.

Conclusion

monday.com documents its AI data processing transparently: no training on customer data, Zero Data Retention with model providers, existing permissions remain authoritative, and encryption follows industry standards. For Swiss companies, however, this does not replace your own review of data residency and the Sub-Processor List, especially when personal data requiring special protection is involved. If you're unsure how to introduce monday AI in your company in a privacy-compliant way, we're happy to support you with setup and permission structure.

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