Workflow examples
Each illustrative pattern begins with the required result, then identifies the actors, selected capability, authority to avoid, crossings, evidence, and workspace fit that deserve evaluation.
Review the directoryDirect answer
Choose Secure Workspace when the task is a governed session inside an existing protected system. Choose Agentic Workspace when the task assembles selected data, models, tools, compute, applications, sandboxes, or endpoints. Use both only for an explicit crossing into a separately governed protected-system session.
Workflow directory
Investigate an event with selected telemetry, evidence, diagnostic tools, models, compute, and approved protected-system actions; keep analysis, recovery action, crossings, and closeout explicit.
Choose the execution shapeAnswer one bounded question using a defined data view, approved models and tools, bounded compute, private work, review, and controlled publication.
Review the focused workflowGive an approved technician the named service application, target, interaction controls, transfer paths, duration, and closeout required for one maintenance result.
Review the focused workflowLet an approved worker use the required protected system through an eligible application or protocol runtime without broad admission to the surrounding environment.
Review Secure WorkspaceEnter assigned work through a supported browser while keeping native target credentials and protocol runtimes away from the endpoint where the selected implementation permits.
Review endpoint responsibilitiesCollect allowed material, analyze selected data, preserve private work, and move only reviewed outputs through approved paths, with an explicit protected-system handoff when required.
Choose the workspace boundaryEvidence evaluation
Was the intended result completed?
Which unnecessary authority was avoided?
Which paths crossed the task boundary?
Can material decisions and actions be attributed?
Start with the work
Share non-sensitive context about the actors, protected systems or data, execution, crossings, outputs, lifecycle, and evidence needs.
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