Regulated industries share a common demand that consumer AI does not: they have to be able to show their work, to someone who does not have to take their word for it. A bank explaining a denied transaction, a hospital documenting a clinical handoff, a law firm attesting to a review step, an agency justifying a decision under audit — all of them face the same question. Not "did the AI perform well?" but "can you prove what it did?"
That is what AI assurance is for.
The obligation is provenance, not performance
Regulatory frameworks across finance, healthcare, legal, and government converge on a small set of operational requirements: keep records of what the system did, make its behavior interpretable, and preserve the ability for a human to oversee and, if needed, reconstruct a decision. None of these are satisfied by a self-kept log. They are satisfied by records a third party can independently verify.
A signed, offline-verifiable receipt maps cleanly onto those obligations. It attests the conditions of an AI event — model, inputs, decision, timing — in a form an auditor, regulator, or counterparty can check with a public key alone.
Where it lands, by domain
- Finance — signed records of automated decisions and agent-initiated transactions, verifiable in a dispute or examination.
- Healthcare — attested provenance for AI-assisted steps and handoffs, without exposing protected data in the receipt itself.
- Legal — court-grade, tamper-evident records of what a model or agent reviewed and decided.
- Government & defense — independent attestation of AI decisions where the operator's own log cannot be the sole authority.
- Compliance generally — audit-ready receipts that convert "we followed the process" into something a reviewer can verify.
Match the proof to the stakes
Different tasks warrant different weights of assurance, and over-provisioning proof is its own cost. Hive's AI assurance tiers map one receipt primitive across levels — signed inference, verified model, verified agent, and verified regulated — so a team picks the amount of independent third-party proof a workflow actually requires. Verification is always free; you only pay to sign.
Protecting both sides of an agent transaction
Regulated agent activity has two parties who each need cover: the agent's principal and the provider on the other end. The AFiR Protection Program provides independent, post-quantum attestation of what an AI agent actually did — so neither side has to rely on the other's self-report when a decision is later questioned.
Compare the tiers, then see how the Protection Program covers both sides of a regulated agent transaction.