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Compliance Evaluations
The email lands. "Notice of Internal Audit."
Your heart sinks. Not because you think the work is bad, but because you know exactly what's coming.
It's the scramble. The all-hands-on-deck, drop-everything, "Great Evidence Hunt."
The auditor doesn't ask for much. Just one simple thing: "Can you please provide all relevant scans, logs, and configuration states to prove that Policy GRC-004 was enforced for all production-tagged compute instances in Q3?"
And so it begins.
For the next three weeks, your life is a blur of manual data-pulling.
You're in the CSPM, trying to export the right dashboard view and hoping the filtering is exactly what they asked for.
You're digging through SIEM logs, trying to prove that an alert would have fired if something bad had happened.
You're pinging the SRE team on Slack: "Hey, can you screenshot the config for that production database? The one from three months ago? No, the other one."
You're hunting through Jira tickets and Confluence pages to find the "compensating control" approval for that one exception that's going to show up as a "fail."
You're asking an engineering manager to find the exact pull request where a "finding" was supposedly remediated.
The problem isn't that you're non-compliant. The problem is that your evidence is scattered across a dozen silos, in a dozen different formats. It's an un-auditable mess.
You're spending 90% of your time on manual compilation and 10% on actual compliance. You're stitching together screenshots and spreadsheets, desperately trying to manually map a log entry from one tool to a requirement written in a Word doc a year ago.
By the time you get the auditor what they asked for, it's taken three weeks and involved six different teams. The evidence is stale. They find a gap.
And now you've got a "finding." This isn't security. This isn't compliance. This is a recurring, high-stakes, manual-data-entry nightmare.
We have to stop treating evidence as an archeological dig and start treating it as an automated byproduct of just doing our jobs.
This whole high-stakes scramble isn't a compliance problem; it's a data architecture problem. Your evidence is siloed. We fix it by connecting everything to a central data lake before the auditor ever calls.
Your team gets the evidence collection accelerator. This isn't a tool for finding evidence. It's a tool for exporting evidence that has already been collected, normalized, and mapped.
Here's what this new reality looks like:
From day one, every team is writing their proof to the central data lake, whether they know it or not.
When an SRE runs a pipeline, the automated test results are streamed to the lake.
When a GitOps action fires off, the changes are captured.
When the Cybersecurity team's CSPM runs a scan, its findings are written to the lake.
When a developer's PR is approved, the commit hash and IaC configuration are immutably logged.
Most importantly, every single piece of evidence is automatically tagged with the service, policy, and control IDs it relates to.
The platform builds the full, undeniable audit trail in real-time. You don't have to manually map a single thing. The system already knows the lineage:
This NIST Requirement...
...is met by this Organizational Policy (from GRC)...
...which is tested by this Evaluation (from Privateer)...
...which produced this Result...
...on this Resource (from this Pull Request).
So, that audit email lands. "Can you prove X?"
You don't scramble. You don't open 12 tabs.
You open the evidence collection UI.
The report is generated in seconds.
It's not a folder full of spreadsheets and screenshots. It's a complete, immutable, time-stamped report of machine-readable proof. You export it, or better yet, you give the auditor a read-only view.
The audit is over. You go back to your real job.