How to collect soc 2 audit evidence on Starch
SOC 2 evidence collection is the part of an audit where you prove that your controls actually work — not just that they're written down somewhere. Auditors want logs, screenshots, exports, and records showing that access was reviewed, changes were approved, incidents were responded to, and data was handled correctly, across a defined observation window that usually runs three to twelve months. The work itself isn't technically hard, but it's operationally exhausting: dozens of evidence requests, each one requiring you to pull something from a different system, rename it correctly, and drop it into the right folder before a deadline.
What this looks like varies by how your company is set up — which tools you run, how your team is organized, who owns security versus engineering versus HR. But the underlying problem is the same: audit evidence lives in ten different places, nobody owns the collection process end to end, and the auditor's requests arrive faster than you can respond to them.
On Starch, you end up with a single place where incoming audit requests get triaged and tracked, evidence tasks are assigned with due dates and priority levels, and your internal documentation — policies, runbooks, access review records — is searchable so you're not hunting through Drive folders under pressure. When a request comes in, you have the context to respond the same day instead of the same week.
Why it matters
A slow or disorganized evidence collection process doesn't just frustrate your auditor — it extends your observation window, delays your report, and holds up enterprise deals that are gated on a signed SOC 2. Gaps in evidence (a missing access review, an undocumented incident response) can force you into a qualified opinion or a finding. Getting collection right means a cleaner audit, a faster report, and no last-minute scrambles that pull your engineering or ops team off actual work.
Common pitfalls
The most common mistakes: waiting until the auditor sends requests to figure out where evidence lives, so you're reverse-engineering your own systems under time pressure. Tracking requests in email, where threads get buried and nothing has an owner or a deadline. Treating policy documents as static — submitting a policy last updated two years ago against an observation period where your infrastructure changed significantly. And underestimating how long screenshot and export tasks take when they require logging into five separate tools with different permission levels.
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