A sealed AI audit ledger can survive a reboot by relying on a trust anchor tied to a hardware root of trust, such as a TPM or secure element. This trust anchor is re-derived through a measured boot process, ensuring that the ledger's genesis entry remains sealed at provisioning. Consequently, verification of the ledger can be performed entirely offline without requiring any external communication. AI
IMPACT Enhances trust and security in AI systems by ensuring audit logs remain verifiable and tamper-proof even after reboots.
RANK_REASON The item describes a technical mechanism for maintaining the integrity of an AI audit ledger, which falls under research into AI infrastructure and governance. [lever_c_demoted from research: ic=1 ai=1.0]
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