Question 1

What is receipts-native architecture?

Accepted Answer

Receipts-native architecture (RNA) is a cryptographic system where every AI operation emits a dual-hash receipt at compute-time as a first-class output. Each receipt contains a SHA256:BLAKE3 dual-hash payload, Merkle chain linkage, Ed25519 signature, and RACI governance chain. Receipts are designed to meet FRE 901(b)(9) evidentiary standards.

Question 2

How is receipts-native architecture different from audit logs?

Accepted Answer

Audit logs are mutable secondary records appended after the fact. RNA receipts are first-class cryptographic outputs generated at compute-time. Logs describe what happened. Receipts prove what happened. Any modification to a receipt breaks the Merkle chain — tampering is instantaneously detectable without scanning full history.

Question 3

Why do autonomous systems need cryptographic decision provenance?

Accepted Answer

DoD 3000.09, FAA Part 108, EU AI Act Article 12, and FRE 901(b)(9) require verifiable, tamper-evident audit trails for autonomous system decisions. Mutable logs fail these standards because they can be modified post-hoc. Cryptographic receipts provide unforgeable proof of what an autonomous system decided, when, and why.

Question 4

How is receipts-native architecture different from blockchain?

Accepted Answer

RNA works offline with no consensus mechanism required, generates receipts in under 2ms, and produces evidence designed to meet FRE 901(b)(9) requirements. Blockchain requires network consensus, introduces latency, and was not designed for inference-time decision provenance. RNA is self-authenticating through cryptographic properties alone.

Question 5

What is dual-hash cryptography in RNA?

Accepted Answer

RNA uses SHA256 and BLAKE3 simultaneously on every receipt payload. SHA256 provides NIST-standard compliance; BLAKE3 adds speed (3-4x faster) and cryptographic diversity. Combined collision probability is effectively zero. This classical defense-in-depth approach means breaking one algorithm is insufficient — both must be broken simultaneously.

Question 6

What does a cryptographic receipt contain?

Accepted Answer

Each RNA receipt contains: a dual-hash of the decision payload (SHA256:BLAKE3), a Merkle chain position linking it to the previous and next receipt, an Ed25519 signature proving origin authenticity, a RACI governance chain recording Responsible/Accountable/Consulted/Informed actors, decision metadata including what was decided and the environmental context at decision time, and a timestamp.

Question 7

What is AI Flight Recorder?

Accepted Answer

AI Flight Recorder is a receipts-native black box for autonomous drones. Every inference, decision, and override generates a cryptographic receipt within seconds of the event. It creates unforgeable proof of autonomous drone decisions for insurance underwriting, FAA Part 108 BVLOS compliance, and DoD 3000.09 accountability requirements.

Question 8

What is FRE 901(b)(9) and why does it matter for AI?

Accepted Answer

Federal Rule of Evidence 901(b)(9) governs the authentication of machine-generated evidence in US federal court. It requires evidence produced by a process or system to be shown to produce an accurate result. Mutable logs fail this standard. RNA receipts are designed to satisfy it through cryptographic proof of integrity at compute-time.

Question 9

Can incumbent observability platforms retrofit receipts-native architecture?

Accepted Answer

No. Incumbent observability and coordination stacks are built for post-hoc analysis or real-time coordination, not inference-time cryptographic provenance. Retrofitting requires replacing the fundamental output model of the system — result tuples must become (result, receipt) tuples at compute-time. Analysts estimate an 18-24 month rewrite at cost prohibitive to existing product lines.

Question 10

What is the category lock window for autonomous systems governance?

Accepted Answer

Between 2026 and 2028, four regulatory frameworks converge: FRE 901(b)(9) evidence standards, DoD 3000.09 autonomous weapons governance, FAA Part 108 BVLOS drone operations, and EU AI Act Article 12 high-risk AI logging. The first platform that satisfies all four frameworks with a single cryptographic foundation becomes the default infrastructure standard. First-mover advantage closes on a measurable timeline.

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Four regulatory forcing functions converge in 2026–2027

Every decision emits a receipt at compute-time

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