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.

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