Proposal Explorer
ResetA verification proposal from the AI Verification Tech Map, from its records of 2026-10-08. https://trustbutveri.fyi/explorer/?mechanisms=M-0008,M-0009&implementations=M-0008:I-0013&cols=claims,sees
Analysis
Applied filters: none. Every filter is set to Any.
Overview
| Mechanism | Readiness | Open flaws | Verifier sees |
|---|---|---|---|
| TEE remote attestation for AI workloadsApple Private Cloud Compute | R3 | 1 significantFamily context below | W unspecifiedI unspecifiedT unspecified |
| Hardware-enabled guarantees (flexHEG) and guarantee processors | R1 | 6 significant | W hiddenI hiddenT hidden |
- Open flaws: n critical n significant n minor
- Verifier sees model weights (W), inputs and outputs (I), training data (T): W shown W depends W hidden W not involved W unspecified
Claim coverageNo claims yet
Add claims to see which ones the mechanisms address.
Properties1 in production · 1 built for an adversarial prover
- In production
- R3 TEE remote attestation for AI workloads for showing users which software serves their AI requests, not which model
- Built for an adversarial prover
- Hardware-enabled guarantees (flexHEG) and guarantee processors
- No new hardware needed
- TEE remote attestation for AI workloads
Attack testing2 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.
- TEE remote attestation for AI workloads, Apple Private Cloud Compute: Independent red-team
- Hardware-enabled guarantees (flexHEG) and guarantee processors: Analysis
Limits1 family with findings to check · 1 not yet demonstrated · 2 mechanisms with open significant findings
- Family findings
- TEE remote attestation for AI workloads
Context for Apple Private Cloud Compute. These findings concern the family or other implementations; applicability must be checked against their stated scope.
DDR5 memory-bus interposers forge Intel TDX attestations and break SEV-SNP protections (TEE.fail, DDRop) in TEE remote attestation for AI workloads
Critical when the verifier must resist physical access plus host control on the affected DDR5 platforms. The Intel demonstrations defeat attestation; TEE.fail's AMD demonstration extracts a guest key, not an AMD attestation key. These results do not cover every TEE architecture.
Independent researchers placed an interposer, built for under $1000, on the DDR5 memory bus of servers running Intel TDX and AMD SEV-SNP. Server TEEs encrypt memory deterministically, without integrity or freshness protection, and the researchers exploited this to recover secrets. The attack needs physical access and root privileges.
- On Intel, they extracted the provisioning certification key from a machine that Intel's service rated fully up to date. This per-CPU key signs the keys used in SGX and TDX attestation. With it they forged SGX and TDX attestations.
- On AMD SEV-SNP with ciphertext hiding enabled, they recovered an ECDSA private key used by OpenSSL inside the virtual machine. It was not an AMD attestation key. Other independent attacks did break SEV-SNP attestation. Battering RAM did so with a DDR4 interposer, and RMPocalypse and Fabricked from malicious host software.
A second team, from KU Leuven, ETH Zurich, Durham University and Google, built DDRop, an active DDR5 interposer with a bill of materials of $159. It silently drops memory writes, which memory encryption without freshness protection cannot detect. With brief physical access and control of the host software and BIOS, the researchers forced trust domains into debug mode and forged attestation reports on an up-to-date Intel TDX platform. The same primitive breaks the integrity of Scalable SGX and SEV-SNP, though the authors report no SEV-SNP attestation forgery.
The TEE.fail authors report that Intel and AMD consider interposer attacks out of scope, which leaves physical security as the only mitigation. The DDRop authors report the same position, and that both vendors issued security advisories on disclosure in September 2026. PAL*M lists this attack class as out of its scope, and Tinfoil's documentation acknowledges it. Gloria Z calls key extraction through bus interposition "relatively low-hanging fruit" in an international treaty scenario. 7 8 9 10 11 12 13 14
Demonstrated attack · Critical · Open · Mechanism-class evidence. On the record · Also listed on Apple Private Cloud Compute
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.
DDR4 memory-bus interposers forge SGX and SEV-SNP attestation (Battering RAM, WireTap) in TEE remote attestation for AI workloads
Critical for the tested DDR4 SGX and SEV-SNP configurations against a physical host attacker. The authors exclude DDR5 from these demonstrations, including TDX servers; the DDR5 attacks have a separate finding.
Two independent teams broke server TEE attestation on DDR4 memory with interposers they built themselves. Both attacks need physical access to install the device and root privileges on the host.
- Battering RAM, by researchers at KU Leuven and the Universities of Birmingham and Durham, uses an interposer with a bill of materials of $47.62. It creates memory aliases at runtime, which bypasses the boot-time alias checks that AMD and Intel introduced against static aliasing attacks such as BadRAM. On Intel Scalable SGX it gained arbitrary read and write access to enclave plaintext and extracted SGX's platform provisioning key, which lets an attacker forge attestation certificates for arbitrary quoting enclaves. On up-to-date AMD SEV-SNP servers it captured the launch digests of genuine VMs and replayed them into modified VMs, so that backdoored VMs pass attestation.
- WireTap, by researchers at Purdue University and Georgia Tech, uses an interposer built for under $1000 that records DDR4 bus traffic. On a Xeon Scalable server in fully trusted status it recovered the ECDSA attestation key of SGX's Quoting Enclave in 45 minutes and forged SGX quotes. The authors then showed end-to-end attacks on SGX-based blockchain deployments.
Both attacks are limited to DDR4 systems. The Battering RAM authors state that all commercial TDX machines use DDR5, and the WireTap authors state that 4th and 5th generation Xeon Scalable processors need DDR5 and are not affected by their current work. According to the Battering RAM authors, Intel and AMD acknowledged the findings but consider physical attacks on DRAM out of scope for their current products. The WireTap authors report that Intel considers their attack outside the SGX threat model, and that there is no mitigation besides running servers in secure physical environments. 12 15
Demonstrated attack · Critical · Open · Mechanism-class evidence. On the record
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.
Software-only forgery of SEV-SNP attestation (RMPocalypse, Fabricked) in TEE remote attestation for AI workloads
Critical on affected SEV-SNP platforms before the vendor fixes. These attacks need privileged host software, not physical access. Mitigated records AMD's released updates; it does not establish that a particular deployment installed or enforces them.
Researchers at ETH Zurich showed that a malicious hypervisor can corrupt the Reverse Map Table (RMP) while SEV-SNP initialises it. SEV-SNP uses the RMP to store security metadata for every DRAM page, and a single 8-byte overwrite leaves the whole table compromised. The attack needs no physical access. The authors confirmed it on Zen 3, Zen 4 and Zen 5 processors and state that it affects all AMD processors that support SEV-SNP. They demonstrated forged attestation values, debugging enabled on production confidential VMs, reads and writes of encrypted VM memory, and replay of VM register state.
AMD assigned CVE-2025-0033. Its bulletin rates the issue medium severity and reports SEV firmware, microcode or platform firmware updates for every affected EPYC server and embedded series, with release dates from June 2025 to February 2026.
In Fabricked, researchers from the same ETH Zurich group showed that a host controlling the hypervisor and UEFI firmware can misconfigure the Infinity Fabric interconnect so that the AMD Secure Processor initialises SEV-SNP incorrectly. On a Zen 5 EPYC processor this gave arbitrary reads and writes in the victim VM and forged attestation reports. AMD assigned CVE-2025-54510, rates it medium severity and reports platform firmware updates for its EPYC 7003, 8004, 9004 and 9005 server series, released in November and December 2025. 13 14 16 17
Demonstrated attack · Critical · Mitigated · Mechanism-class evidence. On the record
H100 attestation not bound to a specific confidential VM in TEE remote attestation for AI workloads
The demonstration combines a genuine H100 report with forged Intel TDX evidence. It depends on the CPU attestation already being defeated; a GPU report alone does not demonstrate that an intact CPU-to-GPU trust chain was bypassed.
The TEE.fail authors fetched genuine H100 confidential-computing attestations from a rented server running their TDX VM. They combined these with forged TDX quotes. A proxy running outside any TEE then passed both the TDX and the GPU attestation checks. The authors attribute this to NVIDIA not binding the H100 to the identities of specific VMs. Their site states more generally that NVIDIA's attestation reports are not bound to a specific confidential VM or CPU. Intel, AMD, NVIDIA and the affected deployments acknowledged the findings, according to the authors, and the affected deployments were working on mitigations. The attack does not target NVIDIA's confidential-computing components directly, so the authors state that there are no mitigations on the NVIDIA side. 7
Demonstrated attack · Significant · Open · Mechanism-class evidence. On the record
Side channels and other attacks by the host on CPU and GPU TEEs in TEE remote attestation for AI workloads
The cited studies concern particular CPU and GPU platforms and attack prerequisites. StackWarp has AMD microcode patches; the open class-level entry does not mean every cited defect is unmitigated or applies to every TEE-backed implementation.
PAL*M and Attestable Audits cite published side-channel, single-stepping, interrupt-injection and memory-aliasing attacks on Intel TDX and AMD SEV, including T-Time, TDXploit, CIPHER-LEAKS, Heckler and BadRAM. PAL*M treats them as out of scope. Attestable Audits proposes revoking vulnerable enclave images. Gloria Z notes that performance counters have themselves been used as a side channel, for example in CounterSEVeillance. New attacks of this kind continue to appear. In StackWarp, researchers at CISPA showed that a malicious hypervisor can shift the stack pointer of an SEV-SNP guest on AMD Zen 1 to Zen 5 processors with simultaneous multithreading enabled, which fully breaks the guest's integrity. AMD released microcode patches. On the GPU side, an independent analysis of NVIDIA's confidential computing by IBM Research and Ohio State University found that bulk command and data transfers are protected, but some metadata, timing behaviour and coordination signals remain in unprotected shared memory. The authors report that these can reveal computational behaviour and in some cases allow manipulation of operations. They disclosed the findings to NVIDIA. 9 11 18 19 20
Demonstrated attack · Significant · Open · Mechanism-class evidence. On the record
Attestation covers launch state, and measurements can be incomplete in TEE remote attestation for AI workloads
A general measurement-boundary limitation. The concrete WhatsApp configuration findings were fixed before launch; Apple's research-environment configuration flaw was also fixed. Their fixes do not remove the need to bind each deployment's runtime inputs.
Attestation measures launch state, not runtime state. Data loaded later, such as model weights, must be bound separately. Gloria Z argues that gaps in measuring feature flags, environment variables and invocation arguments are "perhaps the most likely failure mode". She also warns that a badly designed hashing scheme could let two models with significantly different properties share a hash "without breaking the hash function itself". Independent reviews of production systems have found such gaps. In WhatsApp's deployment, Trail of Bits found environment variables and ACPI tables loaded outside the measurement, and rated both high severity. Meta fixed them. On an Apple PCC node running in Apple's research environment, a researcher reports that tampered configuration files left the attestation unchanged. 5 11 21 22 23
Theoretical argument · Significant · Open · Mechanism-class evidence. On the record
Deployment-level attestation does not cover the whole chip in TEE remote attestation for AI workloads
A limitation of deployment-level evidence when the claim concerns all activity on a chip. It does not defeat a narrower claim about which software served one attested request.
An attestation shows what one confidential VM runs. It does not show what else the hypervisor runs on the same hardware. Gloria Z calls the difference between deployment-level attestation and chip-wide monitoring "the gaping hole in this plan". This matters most for negative claims such as the absence of training. 11
Theoretical argument · Significant · Open · Mechanism-class evidence. 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, which attestation of one workload does not give. A pointer, not evidence that this flaw is mitigated. Add
Root of trust concentrated in a few hardware vendors in TEE remote attestation for AI workloads
Vendor trust is an assumption of the attestation chain. The root-seed extraction study concerns AMD EPYC Milan and firmware downgrade with privileged host and platform-flash access; it is not evidence of the same failure on Intel, NVIDIA or all AMD generations.
The root of trust is the certificate authorities of a small number of vendors (AMD, Intel and NVIDIA), which generate the keys and fuse them onto the chips. Gloria Z notes that whoever has access to a hardware key, or can certify one, can in principle produce valid reports for arbitrary measurements without the physical chip. Attestable Audits notes that the approach holds only "as long as the vendor of the secure hardware is trusted". A 2026 preprint reports that a host with root control and the ability to rewrite platform flash can downgrade an AMD EPYC Milan processor to legacy security-processor firmware and extract the hardware root seed from which SEV-SNP attestation keys are derived. The authors state that this lets them forge attestation reports for any firmware version. AMD describes the firmware-loader flaw the attack starts from as a legacy attack mitigated in 2021. 11 18 24 25
Theoretical argument · Significant · Open · Mechanism-class evidence. On the record
- TEE remote attestation for AI workloads
- Open significant flaws
7 flaws in 2 mechanisms
Google Cloud attestation combines affected TEE components in Apple Private Cloud Compute
An applicability question for PCC on Google Cloud, which uses Intel TDX. The cited attacks do not evaluate PCC's combined roots of trust, and do not attack its Apple-silicon deployment. A compromised TDX component alone does not establish a break of the complete PCC trust chain.
Apple reports that PCC on Google Cloud uses Intel TDX, NVIDIA confidential computing and Titan. Components that could exfiltrate user data if compromised have at least two independent vendor roots of trust, and attested keys are held in a separate confidential VM. The TEE findings document physical-host TDX forgery and an H100 relay demonstration. Whether PCC's combined protections resist those attacks remains an open question. 3 7 8
Open question · Significant · Open · Inherited finding. On the record · Related finding in TEE remote attestation for AI workloads
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. 27 29
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. 27
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. 26 28
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. 27
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. 27 28
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. Add
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". 26 28
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. Add
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
- Not yet demonstrated
- R1 Hardware-enabled guarantees (flexHEG) and guarantee processors
- Need new chip designs
- Hardware-enabled guarantees (flexHEG) and guarantee processors
Possible additions2 for open flaws · 2 for dependencies
Mechanisms on the map that are not in the proposal. Pointers, not recommendations.
-
- Bears on the open significant flaw “Supply-chain diversion and hidden backdoors” in Hardware-enabled guarantees (flexHEG) and guarantee processors. 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.
- Bears on the open significant flaw “Coverage stops at flexHEG-equipped chips” in Hardware-enabled guarantees (flexHEG) and guarantee processors. Accounts for which chips exist and who holds them.
- 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.
-
- 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.
-
- 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.
Dependencies1 missing prerequisite · 7 blockers
- Missing prerequisites
- R1 Chip registries and manufacturing records needed by Hardware-enabled guarantees (flexHEG) and guarantee processors Add
- Blockers
7 blockers recorded
- TEE remote attestation for AI workloads
- 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 27
- State-level attackers who hold the hardware can likely compromise the best current secure enclosures. Hardware trust. Waits on Tamper evidence for verifier devices 27 29
- 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 26 28
- Restricting future rule updates would need a formal language for rules, which the authors judge most likely infeasible for early flexHEG versions. Protocol soundness 26
- 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 28
What the verifier sees1 unspecified
From the family or selected implementation's record.
- Model weights
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Unspecified for TEE remote attestation for AI workloads. Check the implementation record.
- Inputs and outputs
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Unspecified for TEE remote attestation for AI workloads. Check the implementation record.
- Training data
Hidden by Hardware-enabled guarantees (flexHEG) and guarantee processors.
Unspecified for TEE remote attestation for AI workloads. Check the implementation record.
Exposure notes
- TEE remote attestation for AI workloads, Apple Private Cloud Compute: This Explorer has no asset-specific exposure assessment for this implementation. Check its source and deployment assumptions.
- 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.
Implementations5 systems
- TEE remote attestation for AI workloads
- R3 Apple Private Cloud Compute Product
- R2 Attestable Audits Research prototype, University of Cambridge
- R2 Cove Open-source project
- R2 PAL*M Research prototype, University of Waterloo
- R3 Tinfoil model identity (Modelwrap) Product, Tinfoil
- Hardware-enabled guarantees (flexHEG) and guarantee processors
- None on the map
Sources32 cited
- Private Cloud Compute: A new frontier for AI privacy in the cloud, Apple Security Engineering and Architecture (SEAR) (2024). Original
- Security research on Private Cloud Compute, Apple Security Engineering and Architecture (SEAR) (2024). Original
- Expanding Private Cloud Compute, Apple Security Engineering and Architecture (SEAR) (2026). Original
- Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence, Y. Dittmar et al. (2026). Original
- Beyond Prompt Injection: Hacking Apple's Private Cloud Compute, D. Selmanaj (2026). Original
- CVE-2026-20685 (Apple Private Cloud Compute Server Software), Apple (CVE Numbering Authority) (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
- PAL*M: Property Attestation for Large Generative Models, P. Chantasantitam et al. (2026). Original
- A primer on secure enclaves, Tinfoil (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
- Fabricked: Misconfiguring Infinity Fabric to Break AMD SEV-SNP, B. Schlüter et al. (2026). Original
- WireTap: Breaking Server SGX via DRAM Bus Interposition, A. Seto et al. (2025). Original
- SEV-SNP RMP Initialization Vulnerability (AMD-SB-3020), AMD (2025). Original
- SEV-SNP Routing Misconfiguration (AMD-SB-3034), AMD (2026). Original
- Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments, C. Schnabl et al. (2025). Original
- StackWarp: Breaking AMD SEV-SNP Integrity via Deterministic Stack-Pointer Manipulation through the CPU's Stack Engine, R. Zhang et al. (2026). Original
- Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing, Z. Gu et al. (2026). Original
- How Tinfoil Proves Exactly What Model Is Running, Tinfoil Team (2026). Original
- What we learned about TEE security from auditing WhatsApp's Private Inference, Trail of Bits (2026). Original
- Meta WhatsApp Private Processing (security review), Trail of Bits (2025). Original
- Insecure Despite Proven Updated: Extracting the Root VCEK Seed on EPYC Milan via a Software-Only Attack, M. Shen & Y. Qin (2026). Original
- MilanLaunchy Firmware Loader (AMD-SB-3045), AMD (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
- Private Cloud Compute (Apple Developer), Apple (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