Proposal Explorer
ResetA verification proposal from the AI Verification Tech Map, from its records of 2026-10-08. https://trustbutveri.fyi/explorer/?mechanisms=M-0023,M-0022,M-0009,M-0019&cols=hardware
Analysis
Applied filters: none. Every filter is set to Any.
Overview
| Mechanism | Readiness | Open flaws | Hardware |
|---|---|---|---|
| Safeguard attestation | R2 | 5 significant | Existing features |
| Side-channel suppression for isolated facilities | R1 | 3 significant | Retrofit device |
| Hardware-enabled guarantees (flexHEG) and guarantee processors | R1 | 6 significant | New chip design |
| Chip registries and manufacturing records | R1 | 3 significant | Existing features |
- Open flaws: n critical n significant n minor
Claim coverageNo claims yet
Add claims to see which ones the mechanisms address.
Properties2 built for an adversarial prover
- Built for an adversarial prover
- Side-channel suppression for isolated facilities and Hardware-enabled guarantees (flexHEG) and guarantee processors
- No new hardware needed
- Safeguard attestation and Chip registries and manufacturing records
Attack testing4 mechanisms with published testing
Published attempts to break a system, including those that found failures. Testing history does not show that open flaws are resolved.
Limits3 not yet demonstrated · 4 mechanisms with open significant findings
- Open significant flaws
17 flaws in 4 mechanisms
Attestation shows a safeguard ran, not that it is effective in Safeguard attestation
Proof of guardrail ensures that the guardrail executed, but the guardrail can still err or be jailbroken. Because the guardrail must be open source, a malicious developer can attack it with jailbreaks while still presenting a valid proof. In the authors' evaluation, Llama Guard 3 reached an F1 score of 0.56 on the unsafe class of the ToxicChat dataset. The authors state that proof of guardrail should not be interpreted or advertised as proof of safety. 1
Theoretical argument · Significant · Open. On the record
Selective attestation leaves traffic uncovered in Safeguard attestation
Attestations are issued per response. In the prototype, the agent offers them when it receives high-stakes questions, so nothing shows that unattested traffic went through the same path. PAL*M's authors note that a prover could cherry-pick favourable executions, and suggest verifier-published nonces or requesting only session-level proofs. A governance analysis notes that auditors also need assurance that all activity is accounted for, since a host could start a second confidential virtual machine that bypasses monitoring. 1 4 9
Theoretical argument · Significant · Open. On the record
Related mechanism R2 On-chip telemetry from timing, memory and performance counters: On-chip counters are a proposed route to evidence about everything a chip runs, including a second virtual machine that skips the safeguard. A pointer, not evidence that this flaw is mitigated. Add
Measurements may omit behaviour-relevant configuration or runtime changes in Safeguard attestation
Every component that influences inference behaviour must be covered by the launch measurement, including feature flags, environment variables and invocation arguments. A launch measurement also does not show that a program keeps running as measured if the kernel is later compromised. 9
Theoretical argument · Significant · Open. On the record
Components outside the attested boundary in Safeguard attestation
In the proof-of-guardrail experiments, the guardrail model and the agent's backend model were both reached through external APIs, and the authors leave the decision to trust those APIs to the verifier. The measured wrapper must also have no vulnerability that lets the unmeasured agent bypass the guardrail, for example by executing arbitrary commands inside the enclave. The code's README states that the enclave does not currently restrict the agent's arbitrary command execution, which could be used to bypass guardrails. 1 2
Theoretical argument · Significant · Open. On the record
Memory-bus interposition extracts attestation keys and forges attestations in Safeguard attestation
Applies to variants using the affected Intel or AMD trust roots. PAL*M excludes physical attacks. A TDX-backed safeguard claim against a physical host attacker would be defeated, but these studies do not demonstrate a break of the AWS Nitro proof-of-guardrail prototype or of verifier-side recomputation.
The TEE findings cover DDR5 attacks on Intel TDX, the H100 relay demonstration, DDR4 attacks on AMD SEV-SNP, and software-only SEV-SNP forgery before AMD's fixes. These are inherited hardware limits; a governance analysis explains why physical access matters in a treaty setting. 1 4 7 8 9 10 11 12 13
Response: Intel and AMD place the physical attack class outside their threat models, according to the researchers. AMD reports firmware fixes for RMPocalypse.
Demonstrated attack · Significant · Open · Inherited finding. On the record · Related finding in TEE remote attestation for AI workloads
Related mechanism R1 Hardware-enabled guarantees (flexHEG) and guarantee processors: A tamper-protected enclosure around the chip is the proposed answer when the party that holds the hardware may attack it physically. A pointer, not evidence that this flaw is mitigated. In the proposal.
Supply-chain implants may evade inspection in Side-channel suppression for isolated facilities
Cankaya identifies malicious hardware embedded deep in purchased components as a residual risk that visual inspection and disassembly may not catch. He notes that radiographic examination under high-security standards could mitigate it. 14
Theoretical argument · Significant · Open. On the record
Openings for airflow, power and optics weaken shielding in Side-channel suppression for isolated facilities
Cankaya notes that keeping attenuation high while passing high-power airflow, cabling and optical links adds complexity beyond existing shielded-enclosure specifications. 14
Theoretical argument · Significant · Open. On the record
Inspection assumptions may not hold in Side-channel suppression for isolated facilities
The design's statistical argument assumes that visual or disassembly inspection catches every flaw that is present in a sampled unit. Cankaya is unsure whether destructive teardowns are defence-dominant or offence-dominant. 14
Open question · Significant · Open. On the record
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. 16 18
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. 16
Theoretical argument · Significant · Open. On the record
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. 15 17
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. 16
Theoretical argument · Significant · Open. 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. 16 17
Open question · Significant · Open. On the record
Related mechanism R1 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 flaw is mitigated. In the proposal.
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". 15 17
Open question · Significant · Open. On the record
Related mechanism R1 Chip registries and manufacturing records: Accounts for which chips exist and who holds them. A pointer, not evidence that this flaw is mitigated. In the proposal.
Related mechanism R1 Remote detection of data centres: Looks for undeclared facilities that hold other chips. A pointer, not evidence that this flaw is mitigated. Add
Records cover only chips that were recorded in Chip registries and manufacturing records
A registry or commitment accounts only for chips entered into it. Cankaya asks how a verifier would know it had found all chips, or how much "dark compute" remains, and notes that a fraudulent original record would mean unregistered chips had been made in advance. Halstead and Larsen propose reconstructing earlier production by auditing upstream suppliers. 23 25
Theoretical argument · Significant · Open. On the record
Related mechanism R1 Remote detection of data centres: Looks for large data centres that were never declared, which a registry cannot show. A pointer, not evidence that this flaw is mitigated. Add
Documents and serial numbers can be forged in Chip registries and manufacturing records
Avellar and Grunewald note that export documents can be forged, that companies can hide information behind obscure corporate structures, and that it may be possible to forge serial numbers on chips and racks. They recommend cryptographic attestation of a powered-on chip as an extra check. 22
Theoretical argument · Significant · Open. On the record
Insiders could alter records before they are fixed in Chip registries and manufacturing records
Cankaya argues that insiders who can photograph process secrets could also tamper with production records. A commitment makes changes after publication detectable, but it cannot show that the records were accurate when committed. 23
Theoretical argument · Significant · Open. On the record
- Not yet demonstrated
- R1 Side-channel suppression for isolated facilities, R1 Hardware-enabled guarantees (flexHEG) and guarantee processors and R1 Chip registries and manufacturing records
- Need new chip designs
- Hardware-enabled guarantees (flexHEG) and guarantee processors
Possible additions2 for open flaws · 3 for dependencies
Mechanisms on the map that are not in the proposal. Pointers, not recommendations.
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- Bears on the open significant flaw “Selective attestation leaves traffic uncovered” in Safeguard attestation. On-chip counters are a proposed route to evidence about everything a chip runs, including a second virtual machine that skips the safeguard.
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- Bears on the open significant flaw “Coverage stops at flexHEG-equipped chips” in Hardware-enabled guarantees (flexHEG) and guarantee processors. Looks for undeclared facilities that hold other chips.
- Bears on the open significant flaw “Records cover only chips that were recorded” in Chip registries and manufacturing records. Looks for large data centres that were never declared, which a registry cannot show.
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- Safeguard attestation waits on it. Safeguard evidence must be bound to the model actually served, which depends on model-identity attestation.
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- Safeguard attestation waits on it. Frontier model inference typically needs several GPUs, GPU confidential computing is less mature than CPU support, and CPU inference, which an enclave prototype had to use, ran about 100 times slower than GPU inference.
- Safeguard attestation waits on it. Trust rests on a small number of hardware vendors, and a per-CPU Intel attestation key has been extracted by physical attack.
- Hardware-enabled guarantees (flexHEG) and guarantee processors depends on it.
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- 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.
Dependencies2 missing prerequisites · 1 shared foundation · 15 blockers
- Missing prerequisites
- R3 TEE remote attestation for AI workloads needed by Safeguard attestation and Hardware-enabled guarantees (flexHEG) and guarantee processors Add
- R3 Model identity attestation needed by Safeguard attestation Add
- Shared foundations
- TEE remote attestation for AI workloads relied on by Safeguard attestation and Hardware-enabled guarantees (flexHEG) and guarantee processors
- Blockers
15 blockers recorded
- Safeguard attestation
- No published design shows that all of a provider's traffic passes through the attested safeguard path; current evidence covers individual attested responses. Coverage & hidden compute 1 9
- Frontier model inference typically needs several GPUs, GPU confidential computing is less mature than CPU support, and CPU inference, which an enclave prototype had to use, ran about 100 times slower than GPU inference. Performance & compatibility. Waits on TEE remote attestation for AI workloads 9 26
- Trust rests on a small number of hardware vendors, and a per-CPU Intel attestation key has been extracted by physical attack. Hardware trust. Waits on TEE remote attestation for AI workloads 7 9
- Safeguard evidence must be bound to the model actually served, which depends on model-identity attestation. Evidence binding. Waits on Model identity attestation 26 27
- No independent red-team or audit of a safeguard-attestation system has been published, and the available prototypes are described by their authors as proofs of concept that have not been stress-tested by a counterparty. Adversarial validation 2 6
- Side-channel suppression for isolated facilities
- 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 16
- State-level attackers who hold the hardware can likely compromise the best current secure enclosures. Hardware trust. Waits on Tamper evidence for verifier devices 16 18
- 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 15 17
- Restricting future rule updates would need a formal language for rules, which the authors judge most likely infeasible for early flexHEG versions. Protocol soundness 15
- 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 17
- Chip registries and manufacturing records
- No AI chip registry operates, and covering re-exports would need cooperation from re-exporters and foreign governments that may not be feasible everywhere. Access & governance 21 22
- Linking records to physical chips needs hard-to-spoof unique IDs and inspections. Hardware trust 21 22 23
- Chips produced before a registry starts must be reconstructed from supplier records. Coverage & hidden compute 23 25
- Safeguard attestation
What the verifier sees1 depend on design
From the family or selected implementation's record.
- Model weights
Depends on the design for Safeguard attestation.
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Not involved: Side-channel suppression for isolated facilities and Chip registries and manufacturing records.
- Inputs and outputs
Depends on the design for Safeguard attestation.
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Not involved: Side-channel suppression for isolated facilities and Chip registries and manufacturing records.
- Training data
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Not involved: Safeguard attestation, Side-channel suppression for isolated facilities and Chip registries and manufacturing records.
Exposure notes
- Safeguard attestation: The enclave route signs hashes of the safeguard, request and response; a low-trust design has the verifier re-run and screen sampled requests itself.
- Side-channel suppression for isolated facilities: Shields and filters a facility; it does not handle model data.
- 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.
- Chip registries and manufacturing records: Records chip identities and owners; it does not handle model data.
Implementations3 systems
- Safeguard attestation
- None on the map
- Side-channel suppression for isolated facilities
- R1 AI 2040 inference-only verification stack Proposed architecture, AI Futures Project
- R1 Low-trust AI compute verification system overview Proposed architecture, Machine Intelligence Research Institute
- R1 RAND secure inference data center (SIDC) design Proposed architecture, RAND
- Hardware-enabled guarantees (flexHEG) and guarantee processors
- None on the map
- Chip registries and manufacturing records
- None on the map
Sources27 cited
- Proof-of-Guardrail in AI Agents and What (Not) to Trust from It, X. Jin et al. (2026). Original
- Verifiable-ClawGuard: proof-of-guardrail reference code, SaharaLabsAI (2026). Original
- Safety Without Compromising on Privacy, D. McCann-Sayles et al. (2026). Original
- PAL*M: Property Attestation for Large Generative Models, P. Chantasantitam et al. (2026). Original
- Enabling Verifiably-Scoped Monitoring through Large Language Models and Trusted Compute, B. Penchas et al. (2026). Original
- Auditor-in-a-Box: Tools for Third-Party Auditing, R. Rinberg & B. Penchas (2026). Original
- TEE.fail: Breaking Trusted Execution Environments via DDR5 Memory Bus Interposition, J. Chuang et al. (2026). Original
- DDRop: Active Memory Interposer Attacks on Confidential VMs by Dropping DDR5 Writes, J. De Meulemeester et al. (2026). Original
- On TEEs for Privacy-Preserving Monitoring in AI Governance, Gloria Z (2026). Original
- Battering RAM: Low-Cost Interposer Attacks on Confidential Computing via Dynamic Memory Aliasing, J. De Meulemeester et al. (2026). Original
- RMPocalypse: How a Catch-22 Breaks AMD SEV-SNP, B. Schlüter & S. Shinde (2025). Original
- SEV-SNP RMP Initialization Vulnerability (AMD-SB-3020), AMD (2025). Original
- A System Overview for Near-Term, Low-Trust AI Compute Verification, N. Cankaya (2026). Original
- Suppressing Side Channels in an Untrusted Data Center via Retrofitted Defenses, N. Cankaya (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
- Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment, M. Baker et al. (2025). Original
- Near-Term Verification Methods for AI Chip Exports, B. Avellar & E. Grunewald (2026). Original
- TSMC most definitely has a golden record of all AI chips it made, N. Cankaya (2025). Original
- Hardware-Level Governance of AI Compute: A Feasibility Taxonomy for Regulatory Compliance and Treaty Verification, S. Ansari (2026). Original
- Covert AI Projects, B. Halstead & T. Larsen (2026). Original
- Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments, C. Schnabl et al. (2025). Original
- How Tinfoil Proves Exactly What Model Is Running, Tinfoil Team (2026). Original
Share the link to this proposal. This proposal is also available as plain text and JSON.
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 readiness
How mature must each mechanism be?
- Any (selected)25 match
- R1 Proposed25 match
- R2 Demonstrated15 match
- R3 In production4 match
- R4 Deployment-ready0 match
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, readiness, assumptions and open flaws.
Mechanisms
A mechanism is a general technique for verifying claims. Its badge is its readiness level 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. Flaw counts are per mechanism. Summary counts name mechanisms with open findings, not a sum of attacks. Choosing an implementation narrows each row to that record's assessed use; family findings remain as context.
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 flaw or a dependency. They are pointers, not recommendations: each brings its own readiness level and flaws, and none is claimed to close a flaw. Links from flaws 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) design3 mechanismsProposed architecture, RAND