IT OPS

Correlate Expense and DNS Signals into a Shadow-IT Risk Score

Joins SaaS charges from Snowflake with first-seen domains from Cloudflare DNS to confirm real shadow-IT adoption, scores each tool by spend and reach.

CategoryIT Ops
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly correlation schedule
  • ActionQuery unsanctioned SaaS chargesSnowflakeSnowflake
  • ActionPull first-seen SaaS DNS domainsCloudflareCloudflare
  • LogicJoin signals and compute risk score
  • ActionOpen ranked Linear intake issueLinearLinear
  • OutputPost prioritized digest to SlackSlack

What it does

Combines two independent signals — money leaving on cards and traffic leaving on the network — so a SaaS tool that shows up in both is treated as a confirmed, higher-confidence shadow-IT finding rather than a noisy single-source alert.

When to use it

Run it weekly when you have both Snowflake expense data and Cloudflare DNS logs and want to cut false positives, focusing security review time on tools that are both paid for and actively used.

How it works

  1. 1A weekly schedule starts the correlation run.
  2. 2A Snowflake query returns unsanctioned SaaS charges; a Cloudflare action returns first-seen SaaS domains for the same window.
  3. 3A logic step joins the two by vendor/domain and computes a risk score from monthly spend and the number of distinct users resolving the domain.
  4. 4Findings above the threshold open a Linear issue ranked by score, with both spend and usage evidence attached.
  5. 5A Slack summary lists the week's confirmed shadow-IT tools in priority order.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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