1
Collect
Retain the consented workflow, identity, session and provider evidence available at that time.
Cyber Sentinels
Preparing the authorized workflow view. No trust state is inferred while data is loading.
Methodology
The methodology is evidence-first, provider-aware and governance-led. It does not establish biometric certainty or guarantee fraud detection.
The same posture model applies to humans, AI agents, non-human identities, workflows, approvals and runtime sessions.
1
Retain the consented workflow, identity, session and provider evidence available at that time.
2
Separate provider-backed, rule-based, simulated and unavailable signals.
3
Apply explainable rules and policy thresholds without treating a score as certainty.
4
Assign accountable human review for escalated or high-assurance workflows.
5
Preserve chronology, authorization lineage, evidence references and final workflow state.
Persistent posture lifecycle
New evidence or context produces an explainable transition.
Evidence freshness or authority reaches a review checkpoint.
Risk or policy routes the workflow to accountable governance.
Review or stronger evidence resolves the active condition.
Expired or changed evidence is refreshed before reliance continues.
Accuracy, false-positive, false-negative and adversarial-robustness claims require representative benchmark data. Until then, provider outputs and rule-based indicators remain evidence for human review.
Review Replay Timeline