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Audit, score, and remediate CIM coverage with a reviewer-approved workflow

A 500-sourcetype CIM audit that traditionally takes 3 to 6 months of manual review compresses to hours of agent-driven scoring with one-off custom SPL searches dropped 60 to 80 percent for gap work. The CIM Compliance Agent inspects, scores, and drafts fixes; the Deslicer Automation Platform (DAP) gates every remediation behind reviewer approval and per-host audit trail.

Last updated .

Outcomes you can expect

  • 500-sourcetype CIM audits that take 3-6 months manually compress to hours of agent-driven scoring.
  • One-off custom SPL searches for gap work drop 60-80 percent.
  • CIM coverage becomes a continuously tracked metric with reviewer-approved drift response.
  • DAP change plans give every remediation an approval, dry-run, and audit trail.

Estimates based on Deslicer customer observations and Splunk practitioner experience for environments running full manual pipelines. Actual results vary by environment complexity, team size, and existing tooling.

How the workflow runs

  1. 1

    Point the agent to your data

    Tell the agent where your data lives — the Splunk index and sourcetype to inspect. It runs targeted SPL via MCP to fingerprint the fields and values already in your events, then proposes the CIM data model — Authentication, Network Traffic, Malware, Web — that best fits each sourcetype for normalization.

  2. 2

    Score current coverage

    The agent runs targeted SPL against your live Splunk via MCP to compute compliance scores per sourcetype, including field-level detail on which extractions are missing or misnamed. The output is a sortable matrix you can filter by sourcetype, app, owner, or severity before deciding what to remediate first.

  3. 3

    Review the drafted remediation

    For each below-threshold sourcetype the agent drafts the exact props.conf, transforms.conf, and tags.conf edits required to lift coverage. The drafts include before/after field-extraction snippets and a written rationale so reviewers can sanity-check intent without leaving the chat.

  4. 4

    Approve the DAP change plan

    The agent attaches the drafted edits to a DAP change plan and presents a confirmation card listing every change item grouped by host, app, file, and stanza. Reviewers approve, reject, or amend the plan before it leaves draft state. The plan can be split per environment so dev / pre-prod / prod roll out independently.

  5. 5

    Execute the rollout

    Approved plans transition through pending → approved → executing → completed with per-host status. If a host fails, you re-target only the failing segment instead of restarting the whole rollout. The execution log stays queryable so post-mortems can replay the exact step sequence.

  6. 6

    Re-score and lock in the gain

    Once the rollout completes, the agent re-scores the impacted sourcetypes and writes a before/after delta to the agent's report. Drift triggers a new change plan, so coverage stays at your target between releases instead of regressing the next time someone hand-edits a TA.

References

Run this use case in your environment

Start free, connect a Splunk environment, and run the workflow with a reviewer-approved DAP change plan from the first execution.

Score CIM coverage in your env