1164
Platforms
409
High severity
696
Medium
59
Low
325
Total monitored
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Comparing OpenAI vs Anthropic · Data Sharing provisions
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Compare data sharing governance provisions between OpenAI and Anthropic. Provisions are extracted from monitored governance documents and classified by severity.

The provision operationalizes cross-border data flows necessary for service delivery while establishing a compliance framework requiring legally valid transfer mechanisms. This addresses the jurisdictional reality that service infrastructure and vendor relationships span multiple data protection regulatory regimes.
Users' personal data will be processed and stored across multiple jurisdictions, including countries outside the user's home jurisdiction, subject to the data protections stated in the privacy policy. OpenAI's obligation to use legally valid transfer mechanisms defines the procedural standards for such transfers.
No opt-out available
OpenAI processes your Personal Data for the purposes described in this policy on servers located in various jurisdictions, including processing and storing your Personal Data in our facilities and servers in the United States, or in countries or territories where our affiliates and partners or our vendors and service providers are located. While data protection law varies by country, we apply the protections described in this policy to your Personal Data regardless of where it is processed, and only transfer that data pursuant to legally valid transfer mechanisms.
AI-extracted from source document. Verify against original for legal use.

OpenAI updated a hyperlink in its Enterprise Privacy document on May 19, 2026. The previous link te…

OpenAI modified a single hyperlink in its API Data Usage Policies on May 19, 2026. The phrase 'Lear…

OpenAI modified the definition of 'Pricing Page' in their Business Terms on May 19, 2026 by adding …

The provision establishes a default data usage framework for model training while preserving carve-outs for safety-critical and user-initiated use cases. This structure allows the entity to conduct ongoing model improvement while maintaining defined boundaries around safety review and explicitly reported content.
Users may limit model training use of their inputs and outputs through opt-out settings, but this opt-out does not apply to flagged safety reviews or materials the user explicitly reports. The mechanism requires affirmative action through account settings to restrict the default authorization for model training use.
No opt-out available
We may use your Inputs and Outputs to train our models and improve our Services, unless you opt out through your account settings. Even if you opt-out, we will use Inputs and Outputs for model improvement when: (1) your conversations are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms).
AI-extracted from source document. Verify against original for legal use.

The Department of Defense designated Anthropic a supply chain risk after the company refused to rem…

AI Difference Analysis Professional
Stripe's arbitration clause is narrower than Amazon's in one key respect: it includes a small claims court carve-out that Amazon's clause does not. PayPal's clause is the most aggressive of the three, explicitly waiving jury trial rights in addition to class action rights. From a compliance perspective, Amazon presents the lowest risk for B2B contracts while PayPal creates the highest exposure for consumer-facing applications subject to CFPB oversight.

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