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Fynite Resolve walkthrough · Powered by FyniteOS™

Walk a Resolution Case From Signal to Verified Outcome.

Review the evidence, approve the proposed action, run the simulated execution and verify the result. Each step explains which FyniteOS capability is at work.

OT/IT Operations · OT/IT Operations

AST-2209 — OT/IT asset reconciliation and dependency review

Resolution Workbench

Interactive demonstration — illustrative sample data
One case connects evidence, recommendation, policy, human decision, permitted execution, verification and audit.

AST-2209 · · OT/IT Operations · Owner: OT/IT Operations Analyst

OT/IT asset reconciliation and dependency review

  1. Detected
  2. Proposed
  3. Awaiting Approval
  4. Approved
  5. Executing
  6. Verifying
  7. Resolved

Signal: CI-2209 classification differs across passive asset observations

Affected systems: ServiceNow · Rapid7 · Dragos

Current statusDetected

Next: Review the evidence, then investigate and propose an action.

FyniteOS step: Trigger intake · Context gathering

A signal from a connected system opened this case. FyniteOS gathers related records, documents and policies as evidence.

Required verification checks

  • Hardware identity confirmed across sourcesPending
  • Approved classification and dependency read backPending
  • CMDB-only authorization and safety boundary verifiedPending

Simulated time: monitoring windows, payment runs and renewal events are time-compressed and complete immediately in this demonstration. Closure stays unavailable until execution succeeded and every check above has passed.

Changing the scenario restarts this case.

Business impact
Incorrect asset class/dependency may distort risk prioritization for a production-critical process
Frequency
Illustrative recurring review
Baseline
One unresolved asset discrepancy

Diagnosis appears after investigation. Review the Evidence tab first.

Interactive demonstration using fictional sample data. No live customer systems are connected, and no demonstrated action changes a real enterprise system.

Case history labels each entry as AI-assisted investigation, a deterministic rule, a human decision or a system action. Higher-risk changes always wait for approval.

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