Write-Once Read-Many (WORM) Storage
Immutable storage ensuring logs, audit trails, and model artifacts cannot be altered once written, supporting non-repudiation and forensic review.
A storage mechanism (e.g., specialized object-storage tiers, append-only ledgers) where once data is written it becomes unchangeable. AI governance uses WORM to retain provenance records, compliance logs, and certified model versions, guaranteeing that historical artifacts remain tamper-proof. Policies specify retention periods, access controls, and verification routines to confirm immutability.
A bank’s ML platform writes all model audit logs and dataset snapshots to a WORM bucket in its cloud provider. Regulators periodically verify the bucket’s immutability settings, ensuring no retrospective alterations have occurred and maintaining trust in audit records.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
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