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Fynite

IT Governance · App Design

IT Device Configuration Audit & Evidence Collection

AI collects and presents audit evidence for configuration items (CI) to support compliance and audit requirements.

Built for: CIO / Chief Audit Executive

Fynite product screen — the workflow as designed.

End-to-end workflow

How the work moves from signal to outcome.

Stages come from the reference scenario for this application. Each is tagged by who performs it: agent reasoning, governed automation, or human control.

  1. 01

    Auditor requests evidence for 250 infrastructure configuration items

    Human control

  2. 02

    Agent identifies device owners and authoritative inventory records

    Agent reasoning

  3. 03

    Collects approved configurations, patch history, change approvals, vulnerability status and access records

    Human control

  4. 04

    Maps evidence to applicable control requirements

    Governed automation

  5. 05

    Generates traceable audit packages with timestamps and source references

    Governed automation

  6. Every step is logged; exceptions route to the responsible owner.

Enterprise systems

Data sources used in the reference workflow. Integration approach, authentication and permitted actions are assessed for each deployment.

  • ServiceNow CMDBEnterprise connectivity tailored to your environment
  • ServiceNow GRC/IRMEnterprise connectivity tailored to your environment
  • Qualys VMDREnterprise connectivity tailored to your environment
  • Microsoft IntuneEnterprise connectivity tailored to your environment
  • Microsoft Configuration ManagerEnterprise connectivity tailored to your environment
  • Puppet EnterpriseEnterprise connectivity tailored to your environment
  • SplunkEnterprise connectivity tailored to your environment
  • Microsoft Entra IDEnterprise connectivity tailored to your environment
  • AWS ConfigEnterprise connectivity tailored to your environment
  • Azure PolicyEnterprise connectivity tailored to your environment

Business value and KPIs

Measures to baseline before a pilot and track afterwards. Fynite does not publish projected results for this application.

Audit preparation hours
evidence completeness %
control exceptions
audit cycle time

Security and governance

  • Define which roles can view, approve and change records — typically owned by the CIO / Chief Audit Executive organisation.
  • Set approval checkpoints for consequential actions in this workflow before enabling automation.
  • Restrict agent actions to an approved list per connected system, using least-privilege credentials.
  • Retain an audit trail of evidence, decisions and actions; route exceptions to named owners.

Specific platform controls are confirmed against Fynite's security documentation during evaluation.

Implementation considerations

  • Access to ServiceNow CMDB, ServiceNow GRC/IRM, Qualys VMDR with an agreed data scope.
  • Business rules and thresholds behind each stage, validated with process owners.
  • Baseline values for Audit preparation hours and evidence completeness %.
  • Test cases covering normal, incomplete-data and exception paths before production.

Questions

About IT Device Configuration Audit & Evidence Collection.

AI collects and presents audit evidence for configuration items (CI) to support compliance and audit requirements. In the reference scenario: Auditor requests evidence for 250 infrastructure configuration items → agent identifies device owners and authoritative inventory records → collects approved configurations, patch history, change approvals, vulnerability status and access records → maps evidence to applicable control requirements → generates traceable audit packages with timestamps and source references.

Have another question? Use the assistant in the corner of this page — it knows this application's details.

Start with the outcome

Your next business initiative shouldn't take another year.

Start from an existing enterprise application or bring your own requirements. See how Fynite can connect your systems, deploy reasoning agents, and turn complex work into governed execution.