Trust the evidence because you can inspect how it got there.
AnimalTrace is built around source visibility, review boundaries, scoped access, consent, and audit history. We state what the product does today and do not claim certifications we have not earned.
Trust model
Authority stays visible. Uncertainty stays visible too.
A laboratory remains authoritative for the result it issued. A registry remains authoritative for its official record. AnimalTrace connects and explains evidence without silently replacing either source.
Provenance
Important claims retain their source, issuer, dates, and review state so users can see how the record was formed.
Scoped access
Account and organization boundaries limit who can view or act on records. Sensitive workflows are permission-aware.
Consent and sharing
Sharing is purpose-specific. Account holders can control active access without erasing history needed for integrity and audit.
Audit history
Sensitive actions can capture who acted, when, in which organization context, and what changed.
Human review
AI-assisted extraction proposes structured information. Uncertain or conflicting findings remain reviewable before acceptance.
Verifiable snapshots
Generated reports can preserve a fixed rendering and verification context so recipients can check what they received.
Security posture
Controls first. Certification claims only when earned.
AnimalTrace uses security and governance controls appropriate to the workflows it supports, including transport protection and production data protections. We can discuss current controls during diligence. We do not describe the company as SOC 2 or ISO 27001 certified, or make blanket legal-compliance claims.
Access and isolation
Permission-aware access and organization boundaries are designed to fail closed when the required scope is absent.
Data protection
TLS protects data in transit; production storage, object data, and backups are configured with protection at rest.
Diligence without theater
We explain what is implemented, what is configuration-dependent, and what remains on the roadmap.
Go deeper
Read the policies behind the positioning.
Data ownership & sharing
Who controls records, how source authority works, and what happens when access is revoked.
Read the data principlesAI transparency
What AI can propose, what requires review, and which decisions AnimalTrace does not automate.
Read the AI boundariesProduct availability
What is available now, what is delivered through guided workflows, and what remains roadmap.
See the availability matrixBring your trust questions to the workflow review.
We'll walk through sources, roles, consent, review, retention, and current controls in the context of your actual use case.