Cerebras states that it does not keep the prompts you send or the responses you receive when using its AI training, inference, or chatbot services. This is a user-favorable operational commitment that distinguishes these services from general data collection.
This analysis describes what Cerebras'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 non-retention policy defines the data handling practice for content flowing through Cerebras's core service channels, establishing that such inputs and outputs are not preserved in Cerebras's systems following processing.
Interpretive note: The commitment is stated but the policy provides no technical description of how non-retention is implemented or verified, creating uncertainty about operational enforcement.
If accurate and technically enforced, this provision means that the content of your AI interactions is not stored by Cerebras after processing, reducing the risk that your prompts or outputs could be accessed in a data breach, shared with third parties, or used for model training without your knowledge.
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"Your use of the Services, including our training, inference and chatbot Services, provided that we do not retain inputs and outputs associated with our training, inference, and chatbot Services as described in Section 6— Excerpt from Cerebras's Cerebras Privacy Policy
REGULATORY LANDSCAPE: This provision engages GDPR data minimization and storage limitation principles for EU users, as well as CCPA obligations regarding the categories of personal information collected. The FTC may evaluate whether this stated commitment constitutes a material representation about data practices that must be technically implemented. Where this commitment is not operationally enforced, it could be characterized as a deceptive practice under Section 5 of the FTC Act. GOVERNANCE EXPOSURE: Medium. The provision makes an affirmative operational commitment that creates a compliance obligation: if subprocessors or internal systems do retain inputs and outputs contrary to this statement, the company faces regulatory and reputational exposure. The policy does not describe verification, audit, or contractual mechanisms that enforce this commitment downstream. JURISDICTION FLAGS: EU and UK users would evaluate this commitment against GDPR storage limitation requirements. California users may consider whether this affects the categories of personal information collected as disclosed under CCPA. The commitment applies globally as stated but is not qualified by jurisdiction. CONTRACT AND VENDOR IMPLICATIONS: Procurement teams and enterprise customers should assess whether vendor and subprocessor agreements with Cerebras contractually reflect this non-retention commitment, and whether data processing agreements include audit rights to verify compliance. The absence of a described enforcement mechanism may create a gap in B2B contract due diligence. COMPLIANCE CONSIDERATIONS: Legal teams should confirm through data mapping and subprocessor review that no logging, caching, or model fine-tuning processes retain user inputs or outputs in a manner inconsistent with this commitment. If the policy is updated to modify this commitment, affected users and enterprise customers should be notified pursuant to applicable legal obligations.
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The non-retention policy defines the data handling practice for content flowing through Cerebras's core service channels, establishing that such inputs and outputs are not preserved in Cerebras's systems following processing.
If accurate and technically enforced, this provision means that the content of your AI interactions is not stored by Cerebras after processing, reducing the risk that your prompts or outputs could be accessed in a data breach, shared with third parties, or used for model training without your knowledge.
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