two-step predicate

Step 1: Integrity First

Step 2: Inference Second

1. Capture-time sealing, deterministic segmentation, chain continuity, signed manifest.

2. Model identity, runtime identity, input binding, provenance graph, deterministic output encoding.

You only win legally if replay and audit are independently verifiable.

Conformance classes

Class A - Class E

Minimum required:
Class A + Class C.

If AI analytics are in scope, Class B is required.

If multiple sensors must be correlated, Class D is required.

Class A: Capture Integrity (C1 to C9)

Class B: Inference Provenance (I1 to I10)

Class C: Replay and Audit (R1 to R10)

Class D: Multi-Feed Orchestration (M1 to M8)

Class E: Operational Security (S1 to S10)

bidder responses

Show me. Exactly. Independently.

Required Responses:

Conformance class declaration
Architecture mapping to each control
Sample Evidence Package structure and sample verification report format
Verifier tooling availability and offline capability statement
Key management policy summary
Determinism statement for segmentation, replay, and inference artifacts

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Acceptance tests

AT1 Byte flip: verification fails

AT2 Missing segment: verification fails and reports missing content

AT3 Reorder: chain verification fails

AT4 Replay consistency: two systems match timeline boundaries

AT5 Inference trace: output traces to exact input segment digests

AT6 Offline verification succeeds

AT7 Key rotation still verifies older packages

AT8 Multi-feed alignment reproduces across independent machines

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If it doesn’t fail deterministically,
it’s not evidence.

Admissibility Control Plane