The agreement establishes mutual or one-way confidentiality obligations governing the treatment of proprietary business information exchanged between Perplexity and enterprise customers, including restrictions on disclosure and use of confidential information.
This analysis describes what Perplexity AI'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 governs how enterprise customers' proprietary business information submitted through or in connection with the platform is treated, which is operationally significant for organizations deploying the service in contexts involving trade secrets, client data, or sensitive business information.
Interpretive note: The exact confidentiality provision language was not available in the truncated document; this description reflects standard enterprise SaaS confidentiality provision structures.
Under this clause, enterprise customers should assess what categories of information they submit through the Perplexity platform and whether the confidentiality protections in the agreement are sufficient for their organization's risk tolerance and contractual obligations to their own clients.
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1) REGULATORY LANDSCAPE: Confidentiality provisions in enterprise AI agreements interact with trade secret law (Defend Trade Secrets Act in the US, national equivalents in the EU), sector-specific confidentiality requirements (attorney-client privilege, financial data confidentiality under Regulation SP, HIPAA for health data), and GDPR where personal data is embedded in confidential submissions. The adequacy of confidentiality protections is assessed under contract law and applicable trade secret statutes. 2) GOVERNANCE EXPOSURE: Medium. Organizations that submit client data, proprietary algorithms, internal research, or legally privileged information through enterprise AI prompts face exposure if confidentiality protections do not adequately restrict Perplexity's use of that information for platform improvement or other purposes. The distinction between confidentiality obligations and data processing restrictions should be evaluated separately. 3) JURISDICTION FLAGS: EU-based enterprise customers should evaluate confidentiality provisions in conjunction with GDPR data processing obligations; the two frameworks address overlapping but legally distinct concerns. Regulated industries such as legal, financial services, and healthcare face heightened exposure where confidentiality obligations conflict with or supplement sector-specific rules. 4) CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should confirm whether confidentiality obligations survive termination of the agreement, what the permitted purposes for use of confidential information are, and whether exceptions for legal disclosure or regulatory requirements are appropriately scoped. The interaction between confidentiality provisions and any data training or model improvement clauses should be assessed. 5) COMPLIANCE CONSIDERATIONS: Legal teams should document what categories of confidential or sensitive information employees are permitted to submit through the platform and implement internal guidance to prevent inadvertent disclosure of legally privileged, regulated, or client-confidential information.
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This provision governs how enterprise customers' proprietary business information submitted through or in connection with the platform is treated, which is operationally significant for organizations deploying the service in contexts involving trade secrets, client data, or sensitive business information.
Under this clause, enterprise customers should assess what categories of information they submit through the Perplexity platform and whether the confidentiality protections in the agreement are sufficient for their organization's risk tolerance and contractual obligations to their own clients.
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