Proposal Explorer
ResetA verification proposal from the AI Verification Tech Map, from its records of 2026-10-09. https://trustbutveri.fyi/explorer/?mechanisms=M-0014,M-0024,M-0009
Analysis
Applied filters: none. Every filter is set to Any.
Overview
| Mechanism | Development | Security evidence | Open failures |
|---|---|---|---|
| Bandwidth limits and compartmentalization | Research demo | Published security analysis | 2 significant |
| Bounding unexplained information in outputs | Research demo | Published attack testing | 1 significant |
| Hardware-enabled guarantees (flexHEG) and guarantee processors | Proposed | Published security analysis | 3 significant |
- 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
- Built for an adversarial prover
- Bandwidth limits and compartmentalization, Bounding unexplained information in outputs and Hardware-enabled guarantees (flexHEG) and guarantee processors
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.
- Bandwidth limits and compartmentalization: Analysis
- Bounding unexplained information in outputs: Independent red-team
- Hardware-enabled guarantees (flexHEG) and guarantee processors: Analysis
Limits6 scope limitations · 3 open questions · 1 not yet demonstrated · 3 mechanisms with open significant failures
- Open significant failures
6 failures in 3 mechanisms
Operator control of pod routing collapses the bound in Bandwidth limits and compartmentalization
Lucid's analysis finds that if the operator can freely assign pods to routers, it could dedicate a whole cell of 100 or more pods to one pipeline stage. The bound then falls to about 90–220x uncompressed and as low as about 25x with compression. The proposed mitigation, auditor-controlled random assignment that is periodically re-randomized, has not been implemented. 2
Known failure · Theoretical argument · Significant · Open. On the record
Parallel scale-up switches are hard enforcement points in Bandwidth limits and compartmentalization
In GB200 topologies, GPUs reach GPUs in other nodes through NVSwitches without a NIC on the path. Amodo notes that limits are hard to enforce there because many switches work in parallel, so compromising one or two would bypass the limit. 5
Known failure · Theoretical argument · Significant · Open. On the record
Prompt-controlled entropy inflation widens the covert channel in Bounding unexplained information in outputs
Gumbel-based inference verification tolerates token choices that honest GPU nondeterminism could produce, and the size of that tolerated set grows with the model's output entropy. Kezins, an independent researcher, showed that an adversary who controls the prompt distribution can raise output entropy and roughly double the bits leaked per token. Across six models of 1 to 32 billion parameters, this cut the slowdown from 146–254 times under benign prompts to 60–118 times. Kezins argues that architectures built on the same unexplained-information bound inherit this attack surface, and recommends calibrating tolerances against local token entropy rather than benign traffic. 9 10
Known failure · Demonstrated attack · Significant · Open. On the record
Related mechanism Operational use Deterministic and bit-exact inference: Bit-exact replay would remove the tolerance for numerical noise that sets the size of this channel. The record notes that it needs full hardware and software metadata. A pointer, not evidence that this failure is mitigated. Add
State attackers can likely defeat current secure enclosures in Hardware-enabled guarantees (flexHEG) and guarantee processors
The flexHEG authors write that "nation-state attackers can likely compromise the best current secure enclosures", and that the marginal cost of circumvention per device is hard to estimate. RAND similarly judges that anti-tamper measures "would not be insurmountable for a determined and well-resourced adversary", although they raise costs and can reveal tampering. 13 15
Known failure · Theoretical argument · Significant · Open. On the record
Firmware-only retrofits rely on Secure Boot, which fault injection can bypass in Hardware-enabled guarantees (flexHEG) and guarantee processors
Part II notes that the most common attack on Secure Boot replaces the firmware and applies a voltage glitch while the signature is being checked. It also notes that sophisticated actors may use microprobing or laser voltage probing to read key registers. 13
Known failure · Theoretical argument · Significant · Open. On the record
FLOP accounting can be laundered through external data in Hardware-enabled guarantees (flexHEG) and guarantee processors
Results of earlier or parallel workloads could be hidden in the "external data" fed to a device, which would falsify the total FLOP count unless the inputs are explained or time delays are imposed. 13
Known failure · Theoretical argument · Significant · Open. On the record
- Scope limitations
Undeclared local storage raises per-pod capacity in Bandwidth limits and compartmentalization
More memory or storage per pod helps an adversary. Lucid requires per-pod storage to be declared, capped and physically inspected. 2
Scope limitation · Theoretical argument. On the record
Training within one pod is not covered in Bandwidth limits and compartmentalization
Lucid's bounds concern pre-training models larger than the pods are sized for. Training models that fit in one pod, fine-tuning and reinforcement-learning post-training within one pod are outside the modelled threat. 2
Scope limitation · Open question. On the record
Information the declared computation explains is not bounded in Bounding unexplained information in outputs
The bound limits unexplained bits only. Outputs that the declared computation fully explains can still carry valuable information: a compression study notes that an adversary with inference access can extract more proprietary information per bit than naive transmission allows. 8 11
Scope limitation · Theoretical argument. On the record
Channels other than checked outputs are outside the bound in Bounding unexplained information in outputs
The inference-verification scheme treats side channels as out of scope. A low-trust system design argues that suppressing physical covert bandwidth below kilobits per second is much more achievable than aiming for zero, and that a malicious device can leak one bit of information by deliberately outputting a wrong result. 3 9
Scope limitation · Theoretical argument. On the record
Related mechanism Proposed Side-channel suppression for isolated facilities: Physical side channels need separate suppression, which is this mechanism's purpose. A pointer, not evidence that this failure is mitigated. Add
Many important rules cannot be checked on-chip in Hardware-enabled guarantees (flexHEG) and guarantee processors
Malicious intent "is not a technical property observable on-chip", and misuse depends on what is done with a computation's results. A guarantee processor cannot easily tell whether a network is the whole system or one expert in a mixture-of-experts system. Part III judges that a fully local ruleset "may not be entirely feasible" for the same reason. 12 14
Scope limitation · Theoretical argument. On the record
Coverage stops at flexHEG-equipped chips in Hardware-enabled guarantees (flexHEG) and guarantee processors
Motivated actors will always be able to use some compute that is not flexHEG-equipped. Recalling existing consumer GPUs would likely be impractical, and reaching perfect coverage, or conclusively proving that no secret government data centres exist, would be "practically quite difficult". 12 14
Scope limitation · Open question. On the record
Related mechanism Proposed Chip registries and manufacturing records: Accounts for which chips exist and who holds them. A pointer, not evidence that this failure is mitigated. Add
Related mechanism Proposed Remote detection of data centres: Looks for undeclared facilities that hold other chips. A pointer, not evidence that this failure is mitigated. Add
- Open questions
Low-communication training reduces the bandwidth training needs in Bandwidth limits and compartmentalization
DiLoCo matched fully synchronous training on 8 workers while communicating 500 times less. Rahman writes that this family of methods theoretically allows large-scale training with less than 100 Mbps. Lucid includes these methods in its bounds, but notes that extreme activation compression, architectures with unusually small inter-layer widths, or modular paradigms could erode the margin. 2 6 7
Open question · Theoretical argument. On the record
The facility-level design is untested in Bounding unexplained information in outputs
The compute-verification architecture is described with protocol details, potential attacks and prototyping plans, but no prototype results have been published. 8
Open question · Open question. On the record
Supply-chain diversion and hidden backdoors in Hardware-enabled guarantees (flexHEG) and guarantee processors
Components could be diverted before a guarantee processor is added, and backdoors could be introduced during design or manufacturing. Open-source designs and physical scans of randomly selected chips are proposed as countermeasures. Part III proposes international oversight of production and extensive testing of a random sample of finished devices. 13 14
Open question · Open question. On the record
Related mechanism Proposed Chip registries and manufacturing records: Records each chip's identity and owner from the fab onwards, which bears on diversion before a guarantee processor is fitted. It does not address hidden backdoors. A pointer, not evidence that this failure is mitigated. Add
- Not yet demonstrated
- Proposed Hardware-enabled guarantees (flexHEG) and guarantee processors
- Need new chip designs
- Hardware-enabled guarantees (flexHEG) and guarantee processors
Possible additions1 for open failures · 7 for dependencies
Mechanisms on the map that are not in the proposal. Pointers, not recommendations.
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- Bears on the open significant failure “Prompt-controlled entropy inflation widens the covert channel” in Bounding unexplained information in outputs. Bit-exact replay would remove the tolerance for numerical noise that sets the size of this channel. The record notes that it needs full hardware and software metadata.
- Bounding unexplained information in outputs waits on it. Tolerance for numerical nondeterminism sets the size of the residual channel; bit-exact replay would remove it but needs full hardware and software metadata.
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- Bandwidth limits and compartmentalization waits on it. Shaping devices and routing assignments must be trusted by both parties; Amodo has not yet fully analysed resilience to a compromised DPU.
- Hardware-enabled guarantees (flexHEG) and guarantee processors waits on it. State-level attackers who hold the hardware can likely compromise the best current secure enclosures.
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- Hardware-enabled guarantees (flexHEG) and guarantee processors waits on it. Governing all relevant chips depends on knowing where they are, through chip registries and detection of undeclared facilities.
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- Bandwidth limits and compartmentalization waits on it. The verifier must know that all traffic leaving a pod crosses the capped, monitored links.
- Bounding unexplained information in outputs depends on it.
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- Bounding unexplained information in outputs waits on it. Physical side channels need separate suppression, and one design treats a low residual bandwidth, rather than zero, as the realistic target.
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- Bounding unexplained information in outputs depends on it.
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- Hardware-enabled guarantees (flexHEG) and guarantee processors depends on it.
Dependencies6 missing prerequisites · 2 shared foundations · 14 blockers
- Missing prerequisites
- Research demo Tamper evidence for verifier devices needed by Bandwidth limits and compartmentalization Add
- Operational use Sampled inference recomputation needed by Bounding unexplained information in outputs Add
- Proposed Side-channel suppression for isolated facilities needed by Bounding unexplained information in outputs Add
- Proposed Network taps and certifiers needed by Bounding unexplained information in outputs Add
- Operational use TEE remote attestation for AI workloads needed by Hardware-enabled guarantees (flexHEG) and guarantee processors Add
- Proposed Chip registries and manufacturing records needed by Hardware-enabled guarantees (flexHEG) and guarantee processors Add
- Shared foundations
- Tamper evidence for verifier devices relied on by Bandwidth limits and compartmentalization and Hardware-enabled guarantees (flexHEG) and guarantee processors
- Network taps and certifiers relied on by Bandwidth limits and compartmentalization and Bounding unexplained information in outputs
- Blockers
14 blockers recorded
- Bandwidth limits and compartmentalization
- No cap that a verifier can check has been implemented or red-teamed. Adversarial validation 2
- The verifier must know that all traffic leaving a pod crosses the capped, monitored links. Coverage & hidden compute. Waits on Network taps and certifiers 3
- Shaping devices and routing assignments must be trusted by both parties; Amodo has not yet fully analysed resilience to a compromised DPU. Hardware trust. Waits on Tamper evidence for verifier devices 2 5
- Advances in low-communication training could shrink the margin that the cap enforces. Capacity bounds 2 6 7
- Bounding unexplained information in outputs
- The prover's compute must be isolated so that all traffic passes through the verifier's interlock; any unmonitored path voids the bound. Coverage & hidden compute. Waits on Bandwidth limits and compartmentalization 8
- Physical side channels need separate suppression, and one design treats a low residual bandwidth, rather than zero, as the realistic target. Coverage & hidden compute. Waits on Side-channel suppression for isolated facilities 3 9
- Tolerance for numerical nondeterminism sets the size of the residual channel; bit-exact replay would remove it but needs full hardware and software metadata. Protocol soundness. Waits on Deterministic and bit-exact inference 3 10
- Recomputation over confidential weights and inputs needs a protected setting: prover recomputation in a verifier-controlled enclosure, verifier recomputation in a prover-controlled enclosure, or zero-knowledge proofs. Privacy & leakage 8
- No prototype of the facility-level architecture exists to red-team. Adversarial validation 8
- Hardware-enabled guarantees (flexHEG) and guarantee processors
- Integrated flexHEG needs substantial help from the accelerator manufacturer, and the authors estimate 3.7–7.9 years, from when the manufacturer starts work, for such hardware to displace other accelerators in frontier development. Access & governance 13
- State-level attackers who hold the hardware can likely compromise the best current secure enclosures. Hardware trust. Waits on Tamper evidence for verifier devices 13 15
- Rival states would need to trust the design and manufacture of guarantee processors and enclosures, for example through open design, redundant processors from each side or oversight of production. Hardware trust 12 14
- Restricting future rule updates would need a formal language for rules, which the authors judge most likely infeasible for early flexHEG versions. Protocol soundness 12
- Governing all relevant chips depends on knowing where they are, through chip registries and detection of undeclared facilities. Coverage & hidden compute. Waits on Chip registries and manufacturing records 14
- Bandwidth limits and compartmentalization
What the verifier sees1 depend on design
From the family or selected implementation's record.
- Model weights
Depends on the design for Bounding unexplained information in outputs.
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Not involved: Bandwidth limits and compartmentalization.
- Inputs and outputs
Depends on the design for Bounding unexplained information in outputs.
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Not involved: Bandwidth limits and compartmentalization.
- Training data
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Not involved: Bandwidth limits and compartmentalization and Bounding unexplained information in outputs.
Exposure notes
- Bandwidth limits and compartmentalization: Caps traffic between groups of chips; it does not read the traffic's content.
- Bounding unexplained information in outputs: Depends on where recomputation runs: in a sealed enclosure, or with zero-knowledge proofs, the verifier need not see the weights or the traffic.
- Hardware-enabled guarantees (flexHEG) and guarantee processors: The guarantee processor sees the chip's traffic inside a sealed enclosure and reports only whether rules were kept.
Implementations2 systems
- Bandwidth limits and compartmentalization
- Proposed AI 2040 inference-only verification stack Proposed architecture, AI Futures Project
- Proposed RAND secure inference data center (SIDC) design Proposed architecture, RAND
- Bounding unexplained information in outputs
- None on the map
- Hardware-enabled guarantees (flexHEG) and guarantee processors
- None on the map
Sources17 cited
- Verification Plan, R. Dean (2026). Original
- Traffic Shaping for Workload Classification, Lucid Computing (2026). Original
- A System Overview for Near-Term, Low-Trust AI Compute Verification, N. Cankaya (2026). Original
- De-risking Interconnect Limits for AI Verification, A. Scher et al. (2026). Original
- The Tray as a Bandwidth Boundary, Amodo Design (2026). Original
- DiLoCo: Distributed Low-Communication Training of Language Models, A. Douillard et al. (2024). Original
- Does Distributed Training Undermine Compute Governance?, R. Rahman (2026). Original
- Verifying AI Compute by Bounding Unexplained Information Exfiltration, J. Petrie & Y. Mühlhäuser (2026). Original
- Verifying LLM Inference to Detect Model Weight Exfiltration, R. Rinberg et al. (2025). Original
- Adversarial Entropy Inflation Against Gumbel-Based Inference Verification, N. Kezins (2026). Original
- Haiku to Opus in Just 10 bits: LLMs Unlock Large Compression Gains, R. Rinberg et al. (2026). Original
- Flexible Hardware-Enabled Guarantees for AI Compute, J. Petrie et al. (2025). Original
- Technical Options for Flexible Hardware-Enabled Guarantees, J. Petrie & O. Aarne (2025). Original
- International Security Applications of Flexible Hardware-Enabled Guarantees, O. Aarne & J. Petrie (2025). Original
- Hardware-Enabled Governance Mechanisms: Developing Technical Solutions to Exempt Items Otherwise Classified Under Export Control Classification Numbers 3A090 and 4A090, G. Kulp et al. (2024). Original
- Secure, Governable Chips: Using On-Chip Mechanisms to Manage National Security Risks from AI & Advanced Computing, O. Aarne et al. (2024). Original
- Hardware-Enabled Mechanisms for Verifying Responsible AI Development, A. O'Gara et al. (2025). 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.
All 25 mechanisms match.
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.
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.
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 goal
A goal is something a rule or agreement about AI sets out to achieve. Choosing one loads the claims it needs verified. Your mechanisms and filters stay as they are.
- Cap frontier training2 direct, 3 supportingKeep every AI training run below an agreed amount of compute.
- Pause frontier AI development2 direct, 3 supportingStop new AI training runs and experiments for an agreed period, while existing models stay in service.
- Deploy only evaluated models2 direct, 3 supportingDeploy powerful AI models widely only after their risks have been evaluated and judged manageable.
- Prevent catastrophic misuse2 direct, 2 supportingKeep capable AI models from helping anyone carry out catastrophic attacks, such as biological or chemical ones.
- Prevent weight theft1 direct, 1 supportingKeep the weights of capable AI models from being copied out of the facilities that hold them.
- Enforce chip export controls1 directKeep export-controlled AI chips at the destinations they were authorised for.
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.
- AI 2040 inference-only verification stack7 mechanismsProposed architecture, AI Futures Project
- Low-trust AI compute verification system overview7 mechanismsProposed architecture, Machine Intelligence Research Institute
- RAND secure inference data center (SIDC) design2 mechanismsProposed architecture, RAND