Experimental workflow · Illustrative scenarios and policy values. Confirm supported signals, processing location, and application enforcement for your deployment.
A sign-in happens at one moment; sensitive actions may happen much later. A fresh check can help your application reassess who is present before it grants access.
Our experimental work explores lighter checks and deliberate multi-signal step-up. The pilot must establish which checks are reliable, when they run, and how the application responds.
These examples explain a policy pattern, not a production tier catalog. Align the final labels with the verification spectrum and enabled app build.
Lightweight, low-friction signals (face-present pings, device posture, presence). Evaluate periodic checks during an active session, subject to consent, platform restrictions, and battery impact.
Quick deliberate actions when confidence drifts but the workload does not yet demand a full capture. The user is briefly aware of the check; the session does not have to restart.
The same multi-signal capture used at first sign-in. Required by policy before sensitive actions or after long inactivity, and always bound to the action_context being approved.
Evaluate four inputs when deciding whether to ask for another check.
A read-only dashboard view can run on Tier 1 confidence. A wire approval, a cred reset, or a domain-admin promotion can require fresh multi-signal verification under your policy.
Test how long a previous verification should remain valid. Use measured results and the sensitivity of the action to choose expiry rules.
Device or network changes can be inputs to a step-up policy when those signals are available and permitted.
Measure capture time, interruption frequency, and failure recovery in the pilot. Explain any passive collection clearly and obtain consent before enabling it.
The demo panel illustrates changing confidence and step-up decisions. It is a simulation of policy behavior, not proof of continuous biometric recognition.