Google plans to give Private AI Compute a memory that follows users across devices
Google plans encrypted, device-keyed server-side memory so Private AI Compute assistants retain context across devices.
Google plans to add persistent, server-side memory to Private AI Compute so Gemini-powered assistants can keep context across sessions and devices. The platform currently processes sensitive data in a hardware-isolated cloud environment and discards context when a task ends. Under the proposed design, assistance data would be stored encrypted, with decryption keys held only on the user's devices, and a secure enclave would temporarily decrypt it over an authenticated end-to-end channel. Google published an updated technical brief, a tamper-proof record of server software, and independent audit results, and says devices can verify the software before sending personal data.
- Private AI Compute has been stateless, erasing context when each task ends.
- Planned memory would sit in storage encrypted with keys held only on user devices.
- A secure enclave decrypts data temporarily, processes the request, then re-encrypts it.
- Google released a technical brief, tamper-proof software record, and audit results.
- Cross-device scenarios are described as future possibilities, not current features.
- Vendors
- Products
- Private AI ComputeGemini
- Organizations
- AI models
- Gemini
From the original article
2 min read at helpnetsecurity.com
Google plans to add private, server-side memory to Private AI Compute, enabling AI assistants to maintain continuity across devices while providing privacy protections normally associated with on-device processing. Private AI Compute is Google’s cloud platform for processing sensitive data with Gemini models in a hardware-isolated environment.
By Anamarija Pogorelec · helpnetsecurity.com
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