SECOPS

Weekly SBOM-vs-advisory drift digest to Confluence and Slack

Each week, reconciles your full SBOM against accumulated advisories and publishes a Confluence report of open exposures, newly-fixed items, and aging unpatched CVEs.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionFetch and parse SBOM from repoGitHubGitHub
  • ActionMatch advisories to installed versionsHTTP webhook
  • LogicCompute new, fixed, and SLA-aging deltas
  • ActionPublish dated report to ConfluenceConfluenceConfluence
  • OutputPost digest summary to SlackSlack

What it does

Gives leadership and the security team a single recurring view of dependency-risk posture. It diffs the current SBOM against the advisory backlog, calculates what's newly exposed, what got patched since last week, and which CVEs are aging past SLA, then writes it up as a versioned Confluence page.

When to use it

Use it for weekly security reviews, compliance evidence, or audit trails where you need a durable, dated record of vulnerability posture rather than ephemeral alerts. Best for teams that document in Confluence and want a consistent cadence.

How it works

  1. 1A weekly schedule fires the run.
  2. 2The latest SBOM is fetched from the GitHub repo and parsed.
  3. 3An HTTP call pulls the active advisory set and matches affected ranges to installed versions.
  4. 4Logic computes deltas: new exposures, items fixed since last week, and CVEs past remediation SLA.
  5. 5A formatted report with tables and an aging chart is built.
  6. 6A Confluence page is published (new dated version) under the security space.
  7. 7A Slack summary posts the headline counts and a link to the page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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