Evidence you can check, from the chip up

Verifiable AI, starting from trusted execution environments

We report on the evidence that lets someone other than an AI provider check its claims.

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Your data passing through the seven layers of an AI system, from the chip up A conceptual illustration: the seven layers of an AI system as an exploded stack of seven plates, from the accelerator up to policy. At the bottom, an AI accelerator board: a GPU die ringed by memory stacks, beside a CPU with a padlock. Above it, in order: an inference server inside a glass enclave, with an attestation report beside it; a neural network and a dataset; generated text and an image with a provenance tag; agents calling tools; benchmark bars and a gauge; and at the top a sealed agreement, standards documents and a pair of scales. An indigo line, the chain of evidence, rises from the GPU die through a ring on every plate toward the seal: solid where a layer's evidence is bound to the layer below, dashed where that binding is still emerging, broken where there is none. The bottom two plates, the layers where trusted execution environments (TEEs) give direct evidence, are tinted indigo. On the ground beside the board, outside the stack, you stand talking with the system: a person seen from behind in an amber coat, holding a phone whose screen shows the same indigo ring. A dotted path carries your prompts and data from the phone through one object on every plate, from the GPU die up to the standards documents, and brings an answer back down to the phone. The layers are positions in this site's own scheme, not security levels, and the T1 to T7 tags on stories refer to them.

You, talking with an AI system

Your prompts and data pass through all seven layers.

Logos and names are examples, not endorsements.

  1. T7, PolicyCheckedAI ActNISTISO 42001CAC

    Who checks: Regulators and inspectors can check commitments, mostly through audits and site visits.

    T7, Policy

    Checkable claim: Developers and governments keep the commitments they make about training, deployment and compute.

    Who checks: Regulators and inspectors can check commitments, mostly through audits and site visits.

    11 stories · 1 about TEEs

  2. T6, EvaluationsCheckedUK AISIUS CAISSIMETRApollo

    Who checks: Independent evaluators given access to the model can rerun the tests or check the test logs.

    T6, Evaluations & audits

    Checkable claim: A reported result came from the stated model, tests and conditions.

    Who checks: Independent evaluators given access to the model can rerun the tests or check the test logs.

    12 stories · 1 about TEEs

  3. T5, AgentsChecked

    Who checks: Services an agent calls can check its signed requests; reviewers can later check its log.

    T5, Agents & actions

    Checkable claim: An agent took these actions, under this policy, on behalf of this person or organization.

    Who checks: Services an agent calls can check its signed requests; reviewers can later check its log.

    7 stories

  4. T4, AI outputsCheckedC2PASynthID

    Who checks: Readers and platforms can check a response's signature or an image's Content Credential.

    T4, Outputs & content

    Checkable claim: This output came from this model and input, and this media has this origin.

    Who checks: Readers and platforms can check a response's signature or an image's Content Credential.

    15 stories · 2 about TEEs

  5. T3, Models & dataChecked

    Who checks: Developers and auditors can check a model's signature, or compare its hash with the published one.

    T3, Models & data

    Checkable claim: These are the weights that were trained, signed and deployed, with this lineage.

    Who checks: Developers and auditors can check a model's signature, or compare its hash with the published one.

    4 stories

  6. T2, Runtime TEEs give direct evidence at this layer.Checked

    Who checks: Your device can compare attested measurements with published values before it sends a request.

    T2, Software & runtime

    Checkable claim: This exact code and configuration processed the request.

    Who checks: Your device can compare attested measurements with published values before it sends a request.

    With a TEE: Launch measurements identify the code and configuration that were loaded.

    10 stories · 10 about TEEs

  7. T1, Hardware TEEs give direct evidence at this layer.Checked

    Who checks: Your device can check the attestation report's signature before it sends a request.

    T1, Hardware & compute

    Checkable claim: The computation ran on genuine hardware in a protected mode.

    Who checks: Your device can check the attestation report's signature before it sends a request.

    With a TEE: A report whose key chains to the chip vendor shows genuine hardware in a protected mode.

    13 stories · 11 about TEEs

The chain of evidence today

  • In use: T1 to T2
  • Emerging: T2 to T6
  • Missing: T6 to T7

Latest news

All briefs
  1. Anthropic Says It Has Given Six METR Evaluators Employee-Like Access

    · Anthropic Stack layers: Evaluations & audits.

  2. Singapore Publishes Testing Kit for AI Agents and Accredits Five AI Testing Firms

    · Infocomm Media Development Authority Stack layers: Evaluations & audits.

  3. European Commission Cites EN 18286 as a Harmonized Standard Under the AI Act

    · Official Journal of the European Union Stack layers: Policy.

  4. OPAQUE Says Its Team Is Joining Anthropic as the Company Winds Down

    · OPAQUE Systems Stack layers: Software & runtime, Hardware & compute.About trusted execution environments.

  5. Google Opens Its SynthID Watermark Detector to the Public

    · Google Stack layers: Outputs & content.

Trusted execution environments

TEE hub

Latest on TEEs

  1. CSET Says Ping-Based Checks Backed by Inspections Are the Most Feasible Way to Track Exported AI Chips

    · Center for Security and Emerging Technology, Georgetown University Stack layers: Policy, Hardware & compute.About trusted execution environments.

  2. Meta Says It Is Extending Private Processing to Its AI Glasses

    · Engineering at Meta Stack layers: Software & runtime, Hardware & compute.About trusted execution environments.

  3. Google Says It Will Add Encrypted Per-User Memory to Private AI Compute

    · Google DeepMind Stack layers: Software & runtime, Hardware & compute.About trusted execution environments.

  4. Cohere Introduces Confidential Computing for Model Vault in Beta

    · Cohere on X Stack layers: Software & runtime, Hardware & compute.About trusted execution environments.

Checks you can run

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