AIAIEFExecution Integrity

AI Execution Integrity Framework · v0.2.5 · aief.dev

Can you prove what your AI system actually did?

AIEF is an independent framework for execution integrity: whether AI executions produce evidence that is complete, tamper-evident, independently verifiable and durable. This free self-assessment scores your system against the ten AIEF controls and returns your indicative cumulative level. About 10 minutes.

01

System profile

Four questions establish system type, execution shape and current evidence approach.

02

Control assessment

Ten AIEF controls, each with focused questions on evidence and verification.

03

Level and evidence

Deterministic control statuses, your highest cumulative level and the evidence you would need.

The cumulative level ladder

Each level requires every level beneath it.

  1. 1

    Artifact Capture

    Material executions produce structured records containing enough context to understand what occurred.

  2. 2

    Tamper-Evidence + Deterministic Verification

    A defined protected set is integrity-protected at issuance and checked by a repeatable PASS/FAIL verification procedure.

  3. 3

    Portability + Independent Validation

    Evidence can be exported, retained and verified by an independent party without privileged access.

  4. 4

    Agent Chain + Dependency Traceability

    Multi-step chains and material external dependencies are recorded and their integrity is verifiable.

AIEF is implementation-agnostic. It defines required evidence and verification properties, never a specific vendor, artifact format, SDK or cryptographic architecture. This tool produces an indicative self-assessment based on self-reported information — not verification, certification or legal advice.