CREDA PROTOCOL

AI-assisted governance for credential rules, risk, and workflow.

Creda Protocol is the governance engine behind the Creda stack—turning static credential policies into executable logic that can be tested, simulated, and enforced across hospitals, aviation, and financial networks.

Governance engine
Risk-weighted policies
Simulation & audit

Not another policy binder. Creda Protocol is designed to express nuanced credential, privileging, and access rules in machine-readable form—with clear explainability for regulators and boards.

Sample Governance Use Cases
Start with a thin slice—one difficult, expensive workflow—and let Creda Protocol express and enforce it consistently across sites and systems.
Healthcare

Locum privileging in 72 hours

  • Express temporary privileging rules once.
  • Apply risk-weighted checks to high-impact specialties.
  • Issue time-bound tokens that expire automatically.
Aviation & Security

Role-based access at secure sites

  • Map each badge level to explicit policy logic.
  • Include training, background, and recency requirements.
  • Trigger revocation flows when any prerequisite lapses.
Financial Networks

Credentialed access to high-risk functions

  • Require specific licenses, attestations, and approvals.
  • Log every policy decision with a signed trail.
  • Support selective disclosure for regulators.
How Creda Protocol Fits the Stack
Protocol defines the rules. Registry anchors outcomes. Creda 1 delivers those outcomes to real humans in the field.

Protocol & Registry

Creda Protocol never acts alone—it’s tightly coupled with the attestation and token lifecycle managed by Creda Registry.

  • Define token schemas per industry or site.
  • Apply governance rules to credential changes and events.
  • Emit machine-verifiable state to the Registry for anchoring.
Deterministic outcomes Regulator visibility Explainable AI guardrails

Protocol & Creda 1

Providers and staff never see policy logic—but they feel the difference when onboarding collapses from months to days.

  • Define what “ready to work” means by role, location, and risk tier.
  • Translate decisions into simple wallet experiences.
  • Support rapid “what if” assessments for staffing teams.