AI Integration Policy


This policy governs your use of AI Integrations which HashiCorp may offer in connection with its products and services (the “Services”). This policy is in addition to the Acceptable Use Policy and the Terms of Service which also govern your use of the Services.


You may not (i) use the Services in a way that infringes, misappropriates or violates any person’s rights; (ii) reverse assemble, reverse compile, decompile, translate or otherwise attempt to discover the source code or underlying components of any non-open source or source-available models, algorithms, and systems of the Services (except to the extent such restrictions are contrary to applicable law); (iii) use output from the Services to develop models that compete with the Service; (iv) except as otherwise permitted, use any automated or programmatic method to extract data or output from the Services, including scraping, web harvesting, or web data extraction; (v) represent that output from the Services was human-generated when it is not or otherwise violate the Acceptable Use Policy; (vi) submit any sensitive personal information to the Service.

Your Content. You may provide input to the Services (“Input”), and receive output generated and returned by the Services based on the Input (“Output”). Input and Output are collectively “Content.” HashiCorp may use Content to provide, improve, and maintain the Services, comply with applicable law, and enforce our policies. You are responsible for Content, including for ensuring that it does not violate any applicable law or these Terms.

Similarity of Content

Due to the nature of machine learning, Output may not be unique across users and the Services may generate the same or similar output for a third party. Responses that are requested by and generated for other users are not considered your Content.


Artificial intelligence and machine learning are rapidly evolving fields of study. We are constantly working to improve our Services to make them more accurate, reliable, safe and beneficial. Given the probabilistic nature of machine learning, use of our Services may in some situations result in incorrect Output that does not accurately reflect real people, places, or facts. You should evaluate the accuracy of any Output as appropriate for your use case, including by using human review of the Output.

Reporting Problematic Content

If the Service outputs problematic content that you believe should have been filtered, please raise the issue at