Google DeepMind has added secure server-side memory to Private AI Compute. The design lets personal assistants hold onto useful context across sessions while keeping that information out of standard cloud processing environments. This means a support agent’s ongoing case notes or a researcher’s draft queries can persist without the memory contents being readable by the underlying cloud infrastructure.
For teams evaluating the technology, three specific areas require scrutiny: the isolation design that separates private memory from the rest of the stack, the guarantees around data deletion when a session ends or a user requests removal, and the audit evidence provided to back up those privacy claims. Buyers in government, hospitality, IT, and product development should confirm that the isolation mechanism is documented and testable, that deletion timelines are contractually defined, and that logs or attestations exist to verify the system’s behavior.
Source: https://deepmind.google/
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