This analysis describes what Cursor's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The provision creates a default restriction on model training data sourcing while establishing explicit carve-outs for security operations and user-directed data sharing. The inclusion of a preference management mechanism indicates the terms contemplate ongoing user control over whether inputs enter training workflows.
Interpretive note: The document does not define the threshold or process for a 'security review' flag, leaving the scope of that exception ambiguous.
Under this clause, user inputs and suggestions are not automatically incorporated into model training absent one of three triggering events. Users retain ability to modify their preferences regarding training use through in-service controls, and explicit consent is required for inputs to be used for training purposes beyond security review scenarios.
How other platforms handle this
After registration, you may create, upload or transmit files, documents, videos, images, data or information as part of your use of the Service (collectively, "User Content"). This includes any inputs you provide to our AI-powered support tools and outputs generated in response to your inputs. User ...
Training Datasets. In some cases, we access datasets provided by third parties for our model training purposes. These datasets may include personal data (even if such third parties and Mistral AI use good practices to filter out such personal data), proprietary data, or public data. [...] Data publi...
To improve the quality of our services, we analyse texts submitted for translation. We ensure that this analysis cannot be traced back to individual users by anonymising the data before analysis. DeepL Pro subscribers' texts are not used to train our machine translation systems.
Monitoring
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"We do not use Inputs or Suggestions to train our models, or permit third parties to use them for training, unless: (1) they are flagged for security review (in which case we may analyze them to improve our ability to detect and enforce our Terms of Service), (2) you explicitly report them to us (for example, as Feedback), or (3) you've explicitly agreed to their use for such training purposes. You can find instructions in the Service on how to manage your preferences regarding the use of Inputs and Suggestions for training.— Excerpt from Cursor's Cursor Privacy Policy
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How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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The provision creates a default restriction on model training data sourcing while establishing explicit carve-outs for security operations and user-directed data sharing. The inclusion of a preference management mechanism indicates the terms contemplate ongoing user control over whether inputs enter training workflows.
Under this clause, user inputs and suggestions are not automatically incorporated into model training absent one of three triggering events. Users retain ability to modify their preferences regarding training use through in-service controls, and explicit consent is required for inputs to be used for training purposes beyond security review scenarios.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Cursor.