SECOPS
Secret-Leak Incident Audit Trail Logger
On every secret-leak response event, this workflow writes a normalized, immutable record to Postgres and archives the raw evidence to S3.
How it runs
The automated pipeline, trigger to output.
- TriggerLeak lifecycle event webhookHTTP webhook
- LogicNormalize event into audit schema
- ActionArchive raw evidence to S3 with hashAWS S3
- ActionInsert audit record into PostgresPostgres
- OutputReturn record ID and evidence link
What it does
Gives your secret-leak responses a permanent, queryable history. Whenever a leak is detected or remediated, it normalizes the event and stores both the structured record and the raw evidence so auditors and post-mortems have ground truth.
When to use it
Use it alongside your detection and rotation workflows when you need to prove handling for SOC 2, ISO 27001, or breach reporting — and when you want metrics on mean-time-to-revoke across all leaks.
How it works
- 1A webhook receives a secret-leak lifecycle event (detected, revoked, or closed) from upstream workflows.
- 2A logic step normalizes the payload into a consistent schema: secret type, source, actor, timestamps, and action taken.
- 3An action archives the raw event JSON and any scan artifacts to an S3 bucket with a content hash for tamper-evidence.
- 4An action inserts the normalized record into a Postgres audit table keyed by incident ID.
- 5The workflow outputs the stored record's ID and S3 link for downstream reporting.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect AWS S3Buckets, objects, signed URLs.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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