What question did this study set out to answer?

This research aims to determine how offline AI models can be verified for authenticity and integrity.

July 13, 2026Open Access

How do you know an offline AI model has not been tampered with or swapped?

MIMicky IronsMaryland Institute College of Art

Key Points

This research aims to determine how offline AI models can be verified for authenticity and integrity.
Describes cryptographic signing of model weights to secure them.
Outlines hardware attestation to prove the loaded file.
Details the use of a sealed audit ledger for recording model loads.
Hardware attestations consistently verify that the correct model is loaded.
Cryptographic signing ensures model weights remain unchanged.
Append-only audit ledger provides undeniable proof of any discrepancies.

Abstract

You know an offline AI model has not been swapped because its weights are cryptographically signed, the machine proves which file it loaded through a hardware attestation, and that load is recorded in a sealed, append-only audit ledger where any mismatch is provable.Originally published at https://mickai.co.uk/articles/how-do-you-know-an-offline-ai-model-has-not-been-swapped-or-tampered-with. Mickai is a Sovereign Intelligence Operating System; the Open Audit Record signs every artificial intelligence action before it executes, post-quantum and offline-verifiable. 104 filed UK patent applications, Mickai LTD (Companies House 17166618).

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