Protocol 1.1
The Trust Lifecycle Standard for AI systems. Defines explicit states, valid transitions, downgrade triggers, continuity logic and public verifiability.
Governance rules define trust states. Public records preserve evidence.
Core principles
Trust states can be shown to customers, buyers, partners and stakeholders.
Trust validity changes over time as systems evolve.
Claims should connect to artifacts, records and continuity logic.
Explicit trust states
Existence of a system is recorded publicly. No endorsement.
Identity, scope or ownership information is asserted.
Defined artifacts or evidence pass integrity checks.
Records receive public timestamp preservation.
Continuity conditions are actively maintained.
Explicit reduction when continuity or validity fails.
Trust is earned through movement
Verification without continuity should not imply permanent trust.
Governance defines. Ledger records.
Rules, lifecycle logic, transitions and governance meaning.
Observed systems, public entries and discovery surface.
Immutable signed records and public verification evidence.
What this protocol does not claim
Protocol 1.1 does not replace legal advice, formal regulation, safety certification, or government authority. It structures trust continuity and evidence.
Put your AI systems on a trust path
Apply the protocol through assessment, verification and monitoring services.