Evidence Pipelines 101: How to Stop Reconstructing Audit Artifacts Quarterly
Most teams reconstruct audit evidence from scratch every quarter. That's weeks of senior engineering time spent producing artifacts a running system could generate itself. The pipeline below does it automatically.
Evidence map (control → log source → query → retention)
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Frequently asked questions
Why do teams rebuild audit evidence from scratch every quarter?
The first-cycle answer is usually a manually assembled spreadsheet of screenshots pulled from a dozen consoles. Six months later the underlying data has rotated out of console retention, so the spreadsheet has to be rebuilt — three engineers, two more weeks — every cycle.
What is an evidence pipeline?
It treats audit evidence as a continuously-generated output of your running systems rather than a quarterly project, collecting security-relevant events into durable, tamper-evident storage behind a query layer. Auditors get a query interface instead of a console screenshot.
What kinds of evidence do audits and security reviews actually ask for?
Five categories cover roughly 80% of the requests: identity events, change events, configuration snapshots, data-access events, and secrets and credential lifecycle events. Each maps to specific log sources like CloudTrail, GitHub, AWS Config, RDS audit logs, and Secrets Manager.
How long do you have to retain audit evidence?
Keep raw evidence in S3 Object Lock for the full retention period, often seven years for HIPAA-aligned work. A hot, queryable layer holds 18 months, and anything older is rehydrated from cold storage on demand.
How do you make the evidence tamper-evident?
Store raw evidence in S3 Object Lock in compliance mode, and sign or hash-and-chain each batch so tampering is detectable. The simple version is a daily SHA-256 manifest checked into a separate tamper-evident store.
How much does a working pipeline actually save at audit time?
The first audit after it's in place drops from roughly three engineers and two weeks to one engineer and two days. By the third cycle the auditor stops asking because the answers are pre-generated, and the same pipeline becomes your incident-investigation substrate.
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The next audit can be a query, if Terraform and CI already write the proof.
Kaan Systems does platform engineering and Terraform for funded SaaS, health-tech, and fintech. Compliance evidence is the by-product of that work. The Teardown shows which controls Terraform and CI already prove, and which evidence is still rebuilt by hand. The Architecture and Compliance Teardown is a written read in about five business days. Book a call.