Common sovereign identity state
Trust Digital Twin
DT(t) = {Identity, Behaviour, Device, Authority, Consent, Reputation, Fraud, Cyber, Compliance, Provenance}. Scores are advisory. Execution stays deterministic.
Identity graph
Search any registered twin
Ananya Deshmukh
PersonSMISPVDNDKYCVARDISUSR-10024 · Retail customer · Pune · UPI + insurance
Full-KYC savings customer with an active insurance underwriting consent grant and moderate UPI velocity.
Facet contributions
T = Σ wᵢ·facetᵢ, risks carry negative weight
- Identity assurance0.98w +0.22
- Behavioural consistency0.91w +0.13
- Device trust0.91w +0.11
- Delegated authority0.88w +0.10
- Consent state0.96w +0.09
- Reputation0.87w +0.08
- Provenance0.82w +0.07
- Fraud probability0.08w -0.24
- Cyber compromise risk0.09w -0.18
- Compliance posture0.94w +0.10
Deterministic permit gate
Permit = Identity ∧ Authority ∧ Consent ∧ Policy ∧ RiskWithinLimit
Identity valid
identity assurance 98% ≥ 90% floor
Authority valid
delegated authority 88% within mandate
Consent valid
active purpose-bound consent 96%
Policy valid
compliance 94%, cyber risk 9%
Risk within limit
fraud 8% ≤ 30%, trust 88% ≥ 60%
Module signals
Raw evidence feeding the twin
Twin state object
Serialised for downstream consumers
{
"twin": "USR-10024",
"kind": "person",
"trust_score": 0.8822,
"facets": {
"identity": 0.98,
"behaviour": 0.91,
"device": 0.91,
"authority": 0.88,
"consent": 0.96,
"reputation": 0.87,
"provenance": 0.82,
"fraud": 0.08,
"cyber": 0.09,
"compliance": 0.94
},
"permit": true,
"failing_clauses": []
}AI risk narrative
Live reasoning over the current signal field
The deterministic layers above run without AI. Generate a narrative to add a plain-language explanation of the current state for reviewers and supervisors.