IT OPS
Enrich newly flagged tools with risk research and escalate the worst
Takes newly flagged unsanctioned tools from a Snowflake findings table, researches each vendor's security posture and data handling with web search, scores the risk.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled run reads new findings
- ActionLoad flagged tools from Snowflake findings tableSnowflake
- ActionResearch vendor security posture via PerplexityPerplexity
- LogicScore risk and split high vs standard
- ActionPage on-call security for high-risk toolsPagerDuty
- OutputFile standard-risk tools as Linear issuesLinear
What it does
Not every shadow tool is equally dangerous. This agent-driven workflow takes the list of unsanctioned tools already discovered and does the homework: it researches each vendor's data-handling, breach history, and whether it stores sensitive data, assigns a risk score, and routes accordingly. High-risk tools page on-call security through PagerDuty; everything else gets a tracked Linear issue for routine review.
When to use it
Use it as a second stage after a discovery run, when you have more flagged tools than time and need to focus security attention on the genuinely risky ones rather than triaging alphabetically.
How it works
- 1A scheduled run reads the latest flagged-tools findings from Snowflake.
- 2For each tool, a research step gathers the vendor's security posture and data-sensitivity signals from the web.
- 3A logic step scores each tool and splits high-risk from standard.
- 4High-risk tools trigger a PagerDuty incident routed to on-call security.
- 5Standard-risk tools are filed as Linear issues for the normal review queue.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
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