The Information Machine
Concluded·New·in the edition since 25 Sep 2026·6 sources·updated 25 Sep 2026

Google DeepMind Private AI Compute persistent memory

The gist

Google DeepMind Adds Persistent Encrypted Memory to Private AI Compute

The update allows persistent AI context across devices without giving the cloud provider access to user data, a combination the prior stateless design could not support. Devices can verify the software is authentic and unaltered against the public record before sending personal data, enabling external accountability.

The full picture

Google DeepMind has added a persistent memory layer to its Private AI Compute platform, storing user data server-side in encrypted cloud storage while keeping the cryptographic keys exclusively on users' personal devices, making the data inaccessible to Google. The memory runs inside isolated hardware-enforced secure enclaves that temporarily decrypt data to handle a request and immediately re-encrypt it. The system enables cross-device continuity, such as resuming a conversation started on smart glasses when switching to a laptop. Previously, Private AI Compute and similar industry solutions were strictly stateless, wiping all context after each task. To support external verification, Google is publishing a tamper-proof public record of its server software and an updated technical whitepaper, and has shared results from an independent cybersecurity audit covering 2025 and 2026.

How it developed
First in the edition · 25 September 2026
24 September 2026

Google DeepMind announced on September 24 a persistent memory layer for its Private AI Compute platform, storing user data in encrypted cloud storage with cryptographic keys held only on users' devices, making the data inaccessible to Google.

Requests are handled inside hardware-enforced secure enclaves that temporarily decrypt data to process a task and immediately re-encrypt it. Google described the prior stateless design, which wiped all context after each task, as insufficient for continuous AI assistance, citing cross-device use cases such as resuming a smart-glasses conversation on a laptop. To support verification, Google published a tamper-proof record of its server software, summaries of independent audits from 2025 and 2026, and an updated technical whitepaper.

Sources
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