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Product · 5 min read

Automating Evidence Collection: 6 Weeks to 6 Hours

Manual evidence gathering is the #1 reason audits take so long. Here's how automation turns a painful process into a background task.

Proveably Team

2026-01-28

Automating Evidence Collection: How We Reduced Audit Prep from 6 Weeks to 6 Hours

If you've ever been through a SOC 2 audit, you know the drill. Your auditor sends a 200-item evidence request list. Your team spends the next 6 weeks frantically gathering screenshots, exporting logs, writing explanations, and chasing down colleagues for attestations.

It doesn't have to be this way.

The Evidence Problem

A typical SOC 2 Type II audit requires between 150-300 pieces of evidence. Each piece needs to be:

  1. Current — evidence must cover the audit period
  2. Complete — partial evidence gets flagged
  3. Formatted correctly — auditors want specific formats
  4. Traceable — you need to show the chain of custody

For a startup with a 20-person engineering team, gathering this evidence manually means:

  • 4-6 weeks of calendar time
  • 80-120 hours of engineering time pulled from product work
  • $50,000-$100,000 in opportunity cost (engineers not shipping features)
  • 3-5 rounds of follow-up questions from auditors

And you have to do it all again next year.

What Can Be Automated?

Here's the breakdown of evidence categories in a typical SOC 2 audit and what percentage can be automatically collected:

Fully Automatable (60% of evidence)

Evidence Type Example How We Collect It
Access control lists Who has access to prod? API integration with AWS IAM, GitHub
MFA enforcement Is MFA enabled? Query IdP (Okta, Google Workspace)
Encryption configuration Is data encrypted at rest? AWS/GCP/Azure API checks
Network security What ports are open? Automated network scanning
Vulnerability scan results Latest scan reports Continuous scanning output
Patch management Are systems up to date? Package manager and OS queries
Backup verification Are backups running? Check backup service APIs
Log collection evidence Are logs being collected? Verify logging pipeline

Semi-Automatable (25% of evidence)

These need human input once, then can be auto-refreshed:

  • Policy documents — Write once, auto-check for review dates
  • Risk assessments — Template-driven, auto-populated with scan data
  • Vendor security reviews — Questionnaire templates, tracked completion
  • Training records — LMS integration, auto-track completion rates

Manual (15% of evidence)

Some things genuinely need a human:

  • Board meeting minutes discussing security
  • Signed acknowledgment forms
  • Physical security walk-through photos
  • Executive risk acceptance decisions

How Proveably Does It

1. Connect Your Infrastructure

We integrate with your existing tools via read-only API access:

Cloud:       AWS, GCP, Azure
Identity:    Okta, Google Workspace, Azure AD
Code:        GitHub, GitLab, Bitbucket
Monitoring:  Datadog, Splunk, CloudWatch
HR:          Rippling, Gusto, BambooHR

Setup takes about 15 minutes per integration. No agents to install, no infrastructure to manage.

2. Continuous Evidence Collection

Once connected, our platform continuously collects evidence — not just during audit season. This means:

  • Evidence is always fresh — no scrambling to regenerate 3-month-old screenshots
  • Gaps are caught early — if MFA gets disabled, you know immediately
  • Historical data is preserved — auditors can see your security posture over the full audit period

3. Auditor-Ready Export

When your auditor sends their evidence request list, you map each item to a Proveably evidence collection. Our export generates:

  • Timestamped screenshots with metadata
  • JSON/CSV data exports for technical evidence
  • Narrative descriptions auto-generated from evidence data
  • Control mapping showing which evidence satisfies which control

4. Continuous Monitoring

Between audits, we keep collecting. If something changes — an S3 bucket becomes public, MFA gets disabled for an account, a critical vulnerability appears — you get an alert.

This is the difference between point-in-time compliance (scrambling before the audit) and continuous compliance (always audit-ready).

Real Numbers

Here's what our customers actually experience:

Metric Before Proveably After Proveably
Audit prep time 4-6 weeks 1-2 days
Engineering hours 80-120 hours 6-8 hours
Evidence gaps found by auditor 15-25 items 0-2 items
Follow-up rounds 3-5 0-1
Time to close audit 3-4 months 4-6 weeks
Annual compliance cost $150K-$300K $30K-$60K

The math is simple: a platform subscription pays for itself in the first week of audit prep it saves you.

The Compound Effect

The real value isn't just in the first audit. It's in the second one, the third one, and every one after that.

With manual processes, each audit is nearly as painful as the first. You've lost institutional knowledge (people leave), tools have changed, and you're starting from scratch.

With automated evidence collection, each audit gets easier:

  • Your evidence library grows
  • Control mappings are refined
  • Exception handling is documented
  • Auditor relationships are established
  • Remediation patterns are tracked

By your third SOC 2 audit with Proveably, the process is almost entirely on autopilot.

Getting Started

You don't need to wait for audit season to start automating evidence collection. In fact, starting early is better — you'll have more historical data when the auditor arrives.

  1. Sign up for a free Proveably account
  2. Connect your cloud infrastructure and identity provider
  3. Run your first scan — see immediate results
  4. Map controls to your target framework
  5. Let it run — evidence collects automatically

When audit time comes, you'll wonder why you ever did it manually.

Free Compliance Templates

While you're setting up automation, grab these essential templates:

Browse all 25+ free compliance templates →

Start automating evidence collection →

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