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Google Introduces Private AI Compute for Secure Cloud-Based AI Processing

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Google has launched Private AI Compute, a privacy-focused technology designed to process AI queries in the cloud while ensuring user data remains private and inaccessible to anyone, including Google. The system leverages Trillium TPUs and Titanium Intelligence Enclaves (TIE) to provide secure, on-device-level privacy for AI computations. The infrastructure is built to prevent unauthorized access and data exfiltration, using encryption, attestation, and isolation techniques to safeguard user data. Google's Private AI Compute architecture includes multiple layers of security, such as hardware-based Trusted Execution Environments (TEEs), peer-to-peer attestation, and ephemeral data handling. The system is designed to be resistant to physical and digital attacks, ensuring that user data is processed securely and discarded after each session. NCC Group identified some vulnerabilities, including a timing-based side channel and issues with the attestation mechanism, but Google has assessed these risks as low due to the system's design and is working on mitigations.

Timeline

  1. 12.11.2025 10:35 1 articles · 23h ago

    Google Launches Private AI Compute for Secure AI Processing

    Google has introduced Private AI Compute, a privacy-focused technology that processes AI queries in the cloud while ensuring user data remains private. The system leverages Trillium TPUs and Titanium Intelligence Enclaves (TIE) for secure AI computations. The infrastructure includes multiple layers of security, such as hardware-based Trusted Execution Environments (TEEs), peer-to-peer attestation, and ephemeral data handling. NCC Group identified some vulnerabilities, but Google is addressing them.

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