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This page describes what the document states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability may vary by jurisdiction. Methodology
This is Apple's technical security guide for Private Cloud Compute, the cloud system that processes Apple Intelligence AI requests when your device cannot handle them locally. The document states that your request data is never stored after processing, Apple employees cannot access your data at runtime, and the software running on the servers is publicly verifiable by independent security researchers. If you want to understand or verify Apple's privacy claims for AI processing, the document states that Apple publishes the software running on these servers to a public transparency log that anyone can inspect.
This document is Apple's Private Cloud Compute (PCC) Security Guide, a technical governance document describing the architecture, security properties, and privacy guarantees of the cloud infrastructure used to process Apple Intelligence requests that cannot be handled on-device. The guide states that PCC is designed around four core requirements: stateless computation on personal data (the system is designed so that user data is not retained after a request is fulfilled), no privileged runtime access (Apple personnel cannot access user data or request fulfillment infrastructure at runtime), non-targetability (requests cannot be directed at specific individuals by any party including Apple), and verifiable transparency (the software running on PCC nodes is publicly inspectable via a transparency log and virtual research environment). The document describes hardware-rooted trust chains, Secure Enclave-based attestation, cryptographic request routing, and software-enforced isolation as the primary technical mechanisms enforcing these guarantees, which is operationally distinct from most cloud AI provider disclosures in its specificity and its commitment to third-party verifiability. The document engages with EU AI Act considerations around high-risk AI system transparency and auditability, GDPR data minimization and purpose limitation principles given the EU user base, and FTC Act Section 5 considerations around unfair or deceptive practices given the privacy assurances made to consumers. The verifiable transparency commitment, which includes publishing signed software measurements to a publicly auditable append-only log and providing a Virtual Research Environment for independent security researchers, creates a materially observable compliance baseline that may be referenced in regulatory assessments across jurisdictions.
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