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A verification proposal from the AI Verification Tech Map, from its records of 2026-10-09. https://trustbutveri.fyi/explorer/?mechanisms=M-0013,M-0017,M-0007&hide=weights,training

Claims

Mechanisms3

Filters:× 24 of 25 match

Applied filters: Keep hidden from the verifier: model weights, training data. Not set (Any): Prover, Verifier devices on site, Prover cooperation, Chips, Minimum development status, Attack testing.

Analysis

Applied filters: Keep hidden from the verifier: model weights, training data. Not set (Any): Prover, Verifier devices on site, Prover cooperation, Chips, Minimum development status, Attack testing.

  • Open failures: n critical n significant n minor
Claim coverageNo claims yet

Add claims to see which ones the mechanisms address.

Properties3 built for an adversarial prover
Failures since mitigated
  • Verifier dictionary attacks on hashes in Network taps and certifiers 1
Attack testing3 mechanisms with published testing

Attack testing records published testing for this use. It does not by itself show independent review, a formal proof or that a deployed system is secure.

Limits5 scope limitations · 1 open question · 2 not yet demonstrated · 3 mechanisms with open significant failures
Open significant failures
5 failures in 3 mechanisms
  • Output nondeterminism leaves covert capacity in Network taps and certifiers

    Hashing cannot remove information hidden in the outputs themselves. The Secure Gateway Device paper estimates that about 0.1 bit per token remains even with seed-synchronized replay checks. For a 200k-GPU inference cluster at full load (2,000 tokens per GPU per second), that is about 40 Mbit/s of covert egress, enough to move a 1 TB model in under three days. The paper names this the core remaining challenge and points to deterministic replay or active scrubbing of hardware-induced entropy. An independent study found that an adversary who chooses the prompts roughly doubles the bits leaked per token under Gumbel-based inference verification; see Bounding unexplained information in outputs. 1 9

    Known failure · Theoretical argument · Significant · Open. On the record

    Related mechanism Operational use Deterministic and bit-exact inference: Deterministic replay is one of the two remedies the flaw's source names. A pointer, not evidence that this failure is mitigated. Add

    Related mechanism Research demo Bounding unexplained information in outputs: Bounds the hidden information outputs can carry by measuring what the declared computation fails to predict. A pointer, not evidence that this failure is mitigated. Add

  • Residual side channels in simple passive setups in Network taps and certifiers

    Amodo's analysis of its own tapped prototype lists unvalidated header fields, timing of permitted traffic and variation in response formatting as residual channels, and concludes that the passive tap must be replaced by an active one. 5

    Known failure · Theoretical argument · Significant · Open. On the record

  • Seals are often defeated with simple methods in Tamper evidence for verifier devices

    Published defeats of general security seals. They warn about proposed verifier-device seals, but do not demonstrate defeat of an AI verification enclosure or sensor.

    In 1996 a Los Alamos vulnerability assessment defeated all 94 security seals it examined, with 132 defeats in total, using rapid, inexpensive, low-tech methods. It found that seal cost did not predict security. In 2001 Johnston reported that high-tech seals are often easier to defeat than low-tech ones. 17 18

    Known failure · Demonstrated attack · Significant · Open · Mechanism-class evidence. On the record

  • Attack classes outside published models in Tamper evidence for verifier devices

    The radio compensation result is emulated using measured channel data under a known-reference attacker model. It is not a physical bypass demonstration against an AI verifier enclosure.

    The authors of the batteryless cover say they cannot assess chemical-solvent attacks, which exceed their expertise, and deem cover removal impractical. Anti-Tamper Radio's reference can drift as the environment or measurement system ages; the authors suggest gradually renewing the reference. A 2025 follow-up by some of the same authors shows, by emulation on measured channel data, that an attacker who knows the reference channel and the needle's effect on it could inject a signal that cancels the change caused by a needle insertion. It proposes a reconfigurable intelligent surface that randomizes the channel as a countermeasure. 11 12 19

    Known failure · Open question · Significant · Open · Mechanism-class evidence. On the record

  • Known shortcuts let a miner claim somewhat more work than it did in Proofs of useful work for capacity accounting

    Pearl's specification lists known mining speedups: crafted inputs, precision shortcuts, seed grinding, work reuse, and faster kernels or hardware. A policy check caps the summands a miner may skip at one-sixteenth of those in a tile. For capacity bounding, any gap between work proven and work possible leaves spare capacity. 23

    Known failure · Theoretical argument · Significant · Open. On the record

Scope limitations
  • Some links cannot be passively tapped in Network taps and certifiers

    Cankaya notes that copper-connected scale-up domains (for example NVL72 racks and TPU v7 cubes) are much harder to tap than fibre, and that optical budgets make passive taps impractical on 400GBASE-SR8 multimode links. Amodo found no taps advertised for 53 GBaud links as of May 2026. 2 10

    Scope limitation · Open question. On the record

  • Encrypted fabrics hide plaintext from both parties in Network taps and certifiers

    Cankaya notes that with TEE-protected sessions whose keys are ephemeral and managed inside the TEE, neither the operator nor the manufacturer can recover session keys after the session, so tapped traffic could not be opened for recomputation. For other encrypted fabrics, the operator can retain keys. 2

    Scope limitation · Open question. On the record

  • Completeness rests on physical monitoring left out of scope in Network taps and certifiers

    The Secure Gateway Device paper assumes the facility is physically monitored, and states that the whole architecture depends on the device being the only communication channel. It names radio emanation, power-line signalling and thermal channels as covert channels beyond that scope. 1

    Scope limitation · Open question. On the record

    Related mechanism Proposed Side-channel suppression for isolated facilities: Addresses the radio, power-line and thermal channels that network-level designs leave out. A pointer, not evidence that this failure is mitigated. Add

  • Security depends on inspection protocols in Tamper evidence for verifier devices

    An inspection and protocol requirement drawn from safeguards and enclosure studies, not a reported break of a deployed AI verifier.

    Johnston argues that a seal is no better than the protocols for using it, and that inspectors are usually given little useful information on how to detect tampering. The Sandia survey notes that larger enclosures are hard to inspect fully and that sensor data must be authenticated. 16 18

    Scope limitation · Theoretical argument · Mechanism-class evidence. On the record

  • Proves that work was done, not that no capacity remains in Proofs of useful work for capacity accounting

    Proof-of-work accounting bounds unmonitored compute only relative to an estimate of what the actor has. Attestable states that the verifier "needs a credible estimate of the compute available" to the actor, and that a proof "cannot discover a datacenter that was never declared". 20

    Scope limitation · Theoretical argument. On the record

    Related mechanism Proposed Chip registries and manufacturing records: A registry of chips is one basis for the estimate of available compute that the flaw's source says the verifier needs. A pointer, not evidence that this failure is mitigated. Add

    Related mechanism Proposed Remote detection of data centres: Looks for data centres that were never declared, which a proof cannot discover. A pointer, not evidence that this failure is mitigated. Add

Open questions
  • Security rests on new hardness assumptions in Proofs of useful work for capacity accounting

    Komargodski and Weinstein base security on hardness assumptions about batches of low-rank random linear equations, and list PoUW "from more standard or well-studied assumptions" as an open problem. Pearl's floating-point variant introduces a further "quantized-subspace hardness" assumption. 22 23

    Open question · Open question. On the record

Possible additions2 for open failures · 3 for dependencies

Mechanisms on the map that are not in the proposal. Pointers, not recommendations.

Dependencies3 missing prerequisites · 12 blockers
Missing prerequisites
Blockers
12 blockers recorded
  • Network taps and certifiers
    • No complete verification tap has been demonstrated at production frontend link rates, and on the tested CPU no hash algorithm reached line rate with minimum-size frames. Performance & compatibility 10 25
    • Nondeterministic inference leaves covert capacity in outputs that hashing cannot remove. Evidence binding. Waits on Deterministic and bit-exact inference 1
    • Taps and gateway devices need tamper-evident housing and physical monitoring so that traffic cannot bypass them. Hardware trust. Waits on Tamper evidence for verifier devices 1 3
    • Radio, power-line and thermal channels are not addressed by network-level designs. Coverage & hidden compute. Waits on Side-channel suppression for isolated facilities 1
    • Red-teaming by specialists is called for but has not been reported. Adversarial validation 1
  • Tamper evidence for verifier devices
    • No tamper-evident enclosure has been designed for AI verifier hardware at retrofit scale. Hardware trust 3
    • Battery-backed designs add bulk, limit operating temperature (+10 °C to +35 °C for the IBM 4765) and complicate transport. Performance & compatibility 12
    • Active monitoring needs power, and visual inspection of large enclosures faces access limits. Access & governance 16
    • No evaluation has been published in the AI verification setting. Adversarial validation 3
  • Proofs of useful work for capacity accounting
    • Bounding spare capacity needs a credible estimate of the compute available to the actor, including third-party access. Capacity bounds 20
    • Proofs of work cannot find facilities that were never declared. Coverage & hidden compute 20
    • As of September 2026 no implementation, demonstration or independent evaluation of proofs of work for capacity bounding has been published. Adversarial validation
What the verifier sees2 depend on design

From the family or selected implementation's record.

Exposure notes
Implementations4 systems
Network taps and certifiers
Tamper evidence for verifier devices
Proofs of useful work for capacity accounting
Sources25 cited
  1. Fingerprinting All AI Cluster I/O Without Mutually Trusted Processors, N. Cankaya et al. (2026). Original
  2. The Fundamentals and Feasibility of Secure Network Taps for Verifying AI Datacenter Use, N. Cankaya (2026). Original
  3. A System Overview for Near-Term, Low-Trust AI Compute Verification, N. Cankaya (2026). Original
  4. Verification Plan, R. Dean (2026). Original
  5. Fitting a Network TAP to our Inference Verification Prototype, Amodo Design (2026). Original
  6. Amodo-Design/Inference-Recomputation-Prototype (GitHub repository), Amodo Design (2026). Original
  7. inference-verification: Inference Verification Prototype, Singapore AI Safety Hub (SASH) (2026). Original
  8. Internationalising AI Verification, Singapore AI Safety Hub (SASH) (2026). Original
  9. Adversarial Entropy Inflation Against Gumbel-Based Inference Verification, N. Kezins (2026). Original
  10. Network Tapping for AI Verification: A Technical Assessment, Amodo Design (2026). Original
  11. Anti-Tamper Radio: System-Level Tamper Detection for Computing Systems, P. Staat et al. (2022). Original
  12. Secure Physical Enclosures from Covers with Tamper-Resistance, V. Immler et al. (2019). Original
  13. ImpedanceVerif: On-Chip Impedance Sensing for System-Level Tampering Detection, T. Mosavirik et al. (2023). Original
  14. IBM 4765 Cryptographic Coprocessor Security Module: Security Policy, IBM Corporation (2012). Original
  15. PHYSEC SEAL: Change detection for maximum safety, PHYSEC GmbH (2026). Original
  16. Tamper-Indicating Enclosures, A Current Survey, H. A. Smartt & Z. N. Gastelum (2015). Original
  17. Physical Security and Tamper-Indicating Devices, R. G. Johnston & A. R. E. Garcia (1996). Original
  18. Tamper Detection for Safeguards and Treaty Monitoring: Fantasies, Realities, and Potentials, R. G. Johnston (2001). Original
  19. Anti-Tamper Radio Meets Reconfigurable Intelligent Surface for System-Level Tamper Detection, M. S. Tabar et al. (2025). Original
  20. Pacing AI Requires Proof, Attestable (2026). Original
  21. Mechanisms to Verify International Agreements About AI Development, A. Scher & L. Thiergart (2025). Original
  22. Proofs of Useful Work from Arbitrary Matrix Multiplication, I. Komargodski & O. Weinstein (2025). Original
  23. Pearl Floating Point Scheme Specification, Pearl Research Team (2026). Original
  24. pearl: Monorepo for the Pearl network, Pearl Research Labs (2026). Original
  25. Network Traffic Hashing, Amodo Design (2026). Original

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Filter mechanisms

Filters apply to mechanisms only. They describe the setting a proposal is for, and all are off by default. A mechanism that a filter rules out is flagged and does not count towards claim coverage. Selected implementations use their own record fields. A match means not excluded; conditional or unspecified exposure stays with a note. Passing a filter does not establish that the assumptions hold in a deployment.

24 of 25 mechanisms match · Clear all

Prover

How far can the party being checked be trusted?

The prover is the party being checked. Semi-trusted designs rely on part of its stack: usually the chip vendor's hardware root of trust, its firmware or counters, or its supply-chain records. Adversarial designs aim to hold even if it cheats wherever the checks allow, within their stated assumptions.

Keeps mechanisms whose threat model holds against at least this prover. Adversarial is the strongest assumption. Definitions

Verifier devices on site

May the verifier install its own hardware at the prover's sites?

Some mechanisms need a device the verifier owns or trusts at the prover's facility, such as a network tap, a bandwidth limiter or a sealed sensor. Choose Not allowed when the setting rules that out. Inspectors are not covered.

"Not allowed" removes mechanisms that need a retrofit device, such as a network tap or a sealed sensor. Definitions

Prover cooperation

How much must the prover take part?

Required: the prover takes part, for example by logging requests, producing proofs or opening records. Partial: some access, such as installing a device. Not required: works from outside, such as satellite imagery.

"Partial at most" removes mechanisms that need the prover's active participation. "Not required" keeps only those that work without it. Definitions

Chips

May the proposal depend on new chip designs?

New chip features take years to reach a deployed fleet and cover only chips made after they ship. Mechanisms that use shipping features, such as trusted execution environments or performance counters, stay.

"Existing chips only" removes mechanisms that need changes to future chip designs. Definitions

Minimum development status

Development status

A level describes the public evidence for a mechanism's stated use, not its cost or feasibility. R3 can still have open critical flaws.

Keeps mechanisms whose readiness level is at least this one. Definitions

Attack testing

How hard has each mechanism been attacked in public?

The strongest published attempt to break the mechanism for its verification use: a security analysis, red-teaming by its developers or collaborators, or a red team independent of them.

Keeps mechanisms whose strongest published attack testing is at least this. Definitions

Keep hidden from the verifier

What must the verifier never see? Choose any.

Model weights: the checked model's parameters. Inputs and outputs: the requests a deployed model serves and its responses. Training data: what a model was trained on. Each mechanism's exposure is the editors' reading of its record: shown, depends on the design (kept, with a note), hidden, not involved, or unspecified for a selected implementation. Code and configuration are not covered yet.

Removes mechanisms that show the asset to the verifier. Conditional or unspecified exposure stays with a note and needs checking against the privacy requirement.

Claims

A claim is something one party wants to verify about another party's AI hardware or software. Each claim's number shows how the proposal addresses it.

  • Addressed. A mechanism in the proposal is aimed at this claim and is not excluded by the filters.
  • Partly addressed. Only supporting mechanisms, or mechanisms aimed at it that the filters exclude.
  • Unaddressed. No mechanism in the proposal addresses this claim.

Addressed means a mechanism in the proposal is aimed at the claim and is not excluded by your filters. It does not mean the claim is verified: check its assessed use, development status, security evidence, assumptions and findings.

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Mechanisms

A mechanism is a general technique for verifying claims. Its badge is its development status for its stated use. An optional implementation choice narrows its assumptions, assessed use and claim links to that record. Lines join it to the claims it addresses. Click a line for details.Under its name it lists the claims it is aimed at or supports.

  • Aimed at the claim: verifying it is a direct purpose of the mechanism.
  • Supports the claim: helps verify it without being aimed at it.
  • Faint: excluded by your filters, so it does not count towards claim coverage.

All mechanisms

Overview

One row per mechanism in the proposal. Every mark comes from that mechanism's record, as listed in the panels below; what the verifier sees is the editors' reading of the record's text. Failure counts are per mechanism. Summary counts name mechanisms with open failures, not a sum of attacks. Choosing an implementation narrows each row to that record's assessed use; family findings remain as context. Findings are grouped as known failures, scope limitations and open questions. Only known failures count as failures. Counts are an inventory of published findings, not a risk score.

What the verifier sees

For model weights, inputs and outputs, and training data. This is the editors' reading of each mechanism's record (its threat model, how it works and its limitations), not a field of the record. Shown: the verifier sees it. Depends: on the design or variant, or the verifier sees only samples. Hidden: the verifier sees only commitments, hashes, proofs or results. Not involved: the record does not handle it. Unspecified: the selected implementation has no asset-specific assessment here.

Possible additions

Mechanisms on the map, not in the proposal, that the records connect to an unaddressed or partly addressed claim, an open failure or a dependency. They are pointers, not recommendations: each brings its own readiness level and findings, and none is claimed to close a failure. Links from failures are the editors' reading of the two records.

Start from a published design

Choosing a design loads the mechanisms its record realises or depends on. If the proposal has no claims yet, it also loads the claims that record says the design addresses.

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