Internet-Draft draft-das-rats-frontier-model-extraction-01.txt is now
available.
Title: Beyond Attestation: An Execution-Finality Architecture for Controlling Release and Limiting Unauthorized Extraction and Distillation of Sensitive Frontier AI Model Information
Author: Sangam Das
Name: draft-das-rats-frontier-model-extraction-01.txt
Pages: 32
Dates: 2026-08-31
Abstract:
As frontier AI providers expose increasingly rich inference
interfaces to partners, evaluators, and enterprise tenants, richer-
than-normal outputs -- for example logits, log-probability
distributions, embeddings, hidden states, intermediate activations,
KV-cache material, and diagnostic state -- become practical
extraction vectors rather than theoretical concerns. In this
document, a "release" is any point at which such information leaves a
provider's protected execution environment and becomes usable outside
it, whether returned directly to a caller, cached, forwarded, or
otherwise materialized. Existing authentication, confidential-
computing, and remote-attestation mechanisms can establish important
properties of the requester and execution environment, but they do
not by themselves establish that each specific release of sensitive
model information is currently authorized to cross that protected-to-
unprotected boundary.
This document describes that gap as a pre-effectuation release-
control problem and proposes controls intended to limit unauthorized
extraction and reduce the risk that released model information can be
used for downstream distillation. It presents an execution-finality
architecture in which computation is separated from authority to
release. A sensitive result is treated as a Candidate Release,
remains non-effective outside the protected domain, and becomes
externally available only after release-specific validation,
rollback-resistant extraction-state evaluation, bounded
authorization, and verification at a controlled Finality Sink. The
document discusses anti-bypass requirements, remote-attestation
composition, latency, legacy deployment, industrial relevance, and a
concrete model-extraction scenario.
The mechanism is not claimed to prevent all forms of model
distillation. Its narrower objective is to reduce unauthorized or
excessive extraction of privileged model information that can
materially improve model stealing, reconstruction, imitation, or
distillation. Because release authority is bound to rollback-
resistant, atomically consumed extraction state rather than to a
bearer credential, the volume of privileged teacher signal an
adversary can accumulate through the governed path is capped by
authorized state transitions, not by request volume or attacker
persistence alone.
The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-das-rats-frontier-model-extraction/
There is also an HTML version available at:
https://www.ietf.org/archive/id/draft-das-rats-frontier-model-extraction-01.html
A diff from the previous version is available at:
https://author-tools.ietf.org/iddiff?url2=draft-das-rats-frontier-model-extraction-01
Internet-Drafts are also available by rsync at:
rsync.ietf.org::internet-drafts
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