SECOPS
Agent-Driven Exposure Investigator with Cross-Referenced Rotation Plan
A chat-triggered security agent investigates a suspected leak by iteratively querying Brave Search, cross-referencing your secrets inventory in Postgres.
How it runs
The automated pipeline, trigger to output.
- TriggerOperator opens a chat describing the suspected leak
- ActionAgent runs iterative Brave Search to map exposureBrave Search
- ActionCross-reference leaked strings against Postgres secrets inventoryPostgres
- ActionOpenAI synthesizes a dependency-ordered rotation planOpenAI
- ActionFile Linear ticket with per-credential subtasksLinear
- OutputPost responder brief to SlackSlack
What it does
Goes beyond pattern matching: an agent reasons about a suspected exposure, runs follow-up Brave searches to confirm scope, cross-references which of your real secrets are affected, and builds a dependency-aware rotation plan that orders rotations to avoid breaking live services.
When to use it
Reach for it during an active investigation when a simple sweep isn't enough — you need someone (or an agent) to chase leads, judge whether a hit is your actual secret, and figure out the safe order to rotate dependent credentials.
How it works
- 1An operator opens a chat describing the suspected leak.
- 2The agent runs iterative Brave Search queries, refining based on what it finds, to map the full exposure.
- 3It queries the Postgres secrets inventory to match leaked strings against owned credentials and their dependencies.
- 4OpenAI reasoning synthesizes a prioritized, dependency-ordered rotation plan with blast-radius notes.
- 5The plan is filed as a Linear ticket with subtasks per credential and posted as a Slack brief for the responder.
Set it up
What you configure once, before turning it on.
- 1Connect Brave SearchWeb, news, image, video search.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Connect SlackChannels, DMs, threads, mentions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More SecOps workflows
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Exposed-Secret Incident Triage and Remediation Agent
An agent-driven workflow that investigates a reported leaked secret end to end, decides revoke-versus-escalate, executes the rotation.
Non-Rotatable Leaked Secret to PagerDuty Escalation
Catches secret-scan hits for credentials that cannot be auto-rotated, gathers blast-radius context, and pages the on-call engineer with a step-by-step manual rotation runbook.
GitHub Secret-Scan Hit to Auto-Revoke and Rotate
When GitHub secret scanning flags a leaked credential in a repo, it auto-classifies the secret type, revokes the live key at the provider, mints a replacement.
Post-Revocation Verification and Audit Logging
After a key is revoked, it confirms the old credential actually fails, verifies the replacement works.
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