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The policy prohibits Customers from intentionally bypassing abuse protections or safety mechanisms in Groq's services, and from using prompts to cause models to behave in ways that violate the AUP or Groq Services Agreement.
This analysis describes what Groq'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
This provision establishes that prompt engineering or other technical methods used to elicit policy-violating outputs from Groq models constitutes a policy violation, extending acceptable use obligations to the method of interaction rather than solely the resulting output.
Interpretive note: The phrase if any regarding safety mechanisms introduces ambiguity about whether such mechanisms are guaranteed to exist, and the boundary between legitimate prompt engineering and prohibited circumvention is not defined.
Under this clause, Customers and Authorized Users are prohibited from using prompts or other technical approaches to cause Groq's AI models to generate outputs that would otherwise be prohibited under the policy, regardless of whether the method is novel or not explicitly anticipated by the policy.
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"to intentionally circumvent any aspect of the Cloud Services or AI Model Services, including abuse protections or safety mechanisms, if any, or to prompt models to act in a manner that violates our policies, this AUP, or the Groq Services AgreementExcerpt from Groq's Acceptable Use Policy
(1) REGULATORY LANDSCAPE: The prohibition on circumventing safety mechanisms engages the EU AI Act's requirements for general-purpose AI model providers to maintain technical safeguards and for deployers to preserve those safeguards in operation. In the US, the Computer Fraud and Abuse Act may apply to technical circumvention methods that constitute unauthorized access or interference, though applicability depends on the specific technical approach used. (2) GOVERNANCE EXPOSURE: Medium. The phrase if any introduces ambiguity about whether safety mechanisms are guaranteed to exist, which may affect how this prohibition is interpreted and enforced. The extension of the prohibition to prompting behavior is operationally significant for red-teaming, security research, and adversarial testing workflows, which may require exception requests under the policy's exception mechanism. (3) JURISDICTION FLAGS: EU AI Act obligations for general-purpose AI model providers to implement safety measures interact with this provision. Security research carve-outs vary by jurisdiction; researchers should assess whether their testing activities require prior exception approval from Groq under the exception clause. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers conducting AI security testing or red-teaming on Groq-powered deployments should obtain documented exception approvals from Groq before conducting such activities to avoid violation exposure. Vendor agreements involving security assessment of Groq-integrated systems should address this provision explicitly. (5) COMPLIANCE CONSIDERATIONS: Organizations with AI red-teaming or adversarial testing programs should review whether those programs require exception requests under this policy. Security teams should document the scope of any approved testing activities.
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This provision establishes that prompt engineering or other technical methods used to elicit policy-violating outputs from Groq models constitutes a policy violation, extending acceptable use obligations to the method of interaction rather than solely the resulting output.
Under this clause, Customers and Authorized Users are prohibited from using prompts or other technical approaches to cause Groq's AI models to generate outputs that would otherwise be prohibited under the policy, regardless of whether the method is novel or not explicitly anticipated by the policy.
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