AI Output Integrity Infrastructure

Defensible AI outputs for regulated workflows

Verify who generated signed AI output evidence, when it was produced, what was signed, and whether it changed. AuthenChain gives regulated AI teams signed provenance and externally verifiable Evidence Packs.

Regulated AI workflows need verifiable output evidence before enterprise review.

Sign AI outputs at generation time
Export review-ready Evidence Packs
Verify external trust without exposing plaintext

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Built for critical workflows

Banking

Insurance

Healthcare

Fintech

Legal Ops

Public Sector

Problem

Regulated AI cannot rely on trust-me controls

AI outputs need deterministic proof when they influence customers, claims, credit, clinical work, investigations, or regulated communications.

AuthenChain does not claim an output is true. It verifies whether signed evidence remains authentic and intact under AuthenChain rules.

Screenshots are not evidence

When an AI output is challenged, screenshots and tickets cannot prove the exact payload that was generated and signed.

Logs are mutable and system-local

Operational logs help debugging, but they are difficult to defend as external proof in audits, disputes, or investigations.

Detection is probabilistic

Watermarking and AI detection can classify content. They do not prove issuer, payload integrity, or chain of custody.

What AuthenChain does

Turn AI outputs into verifiable evidence

AuthenChain cryptographically binds AI output, metadata, artifacts, provenance, and public verification into one technical evidence layer.

Signed final outputs

Bind the AI output, issuer, model, trace ID, content hash, and canonical metadata at generation time.

Evidence Packs

Export signed evidence bundles with provenance, audit linkage, artifacts metadata, and technical trust conclusions.

Public verification

Separate internal proof completeness from AuthenChain-issued external trust.

Sensitive evidence controls

Use hash-only or encrypted artifact modes with key posture review and controlled forensic access.

Drop-in integration

Start with the Node SDK, REST API, signed webhooks, and dashboard export workflows.

Audit defense

Give compliance, security, legal, and external reviewers deterministic technical evidence instead of mutable records.

Workflow

A three-step evidence layer for regulated AI

No model migration. AuthenChain sits where the final AI output becomes accountable.

Sign at the final-output boundary

Call the SDK or API when an AI workflow produces the final answer, memo, report, or recommendation.

Preserve evidence without plaintext exposure

Keep signed provenance, hashes, encrypted artifacts when needed, and audit linkage for review.

Export and verify externally

Produce an Evidence Pack and verify whether it is trusted, untrusted, failed, incomplete, or no records.

See the SDK flow

Trust and compliance

Evidence posture for security and compliance review

AuthenChain gives compliance, legal, security, and platform teams deterministic technical evidence while minimizing sensitive data exposure.

Review-ready evidence

Export signed Evidence Packs for compliance review, incident response, customer disputes, and external verification.

Enterprise key posture

Support hash-only evidence, encrypted artifact patterns, retention posture review, and controlled forensic access workflows.

Regulatory evidence support

Map technical evidence to AI governance frameworks while keeping legal interpretation and compliance decisions customer-owned.

View regulatory coverage

Pricing

Pricing aligned to audit risk and production volume

Essential and Professional support production adoption. Enterprise is contract-based for regulated deployments where evidence failure creates material risk.