What is compliance evidence automation?
March 6, 20262 min readBeyond SOC 2
What Is Evidence Automation?
Evidence automation replaces the manual process of collecting SOC 2 (and other framework) evidence with software that continuously captures and organizes proof of control effectiveness.
Instead of logging into 15 admin consoles and taking screenshots before each audit, automated tools pull evidence on a schedule or in real time.
Levels of Automation
| Level | Description | Examples | Coverage |
|---|---|---|---|
| Manual | Screenshots, spreadsheets, Google Drive | Human effort | 100% (but slow and error-prone) |
| API monitoring | Pull configuration data from cloud APIs | Drata, Vanta | ~50% of evidence (infrastructure only) |
| API + application | Monitor infrastructure and capture app-level evidence | Screenata | ~80% of evidence |
| Continuous | Real-time monitoring with automated alerting | Future state | ~90% of evidence |
What Gets Automated
| Evidence Type | Automation Method |
|---|---|
| Cloud configurations | API checks against AWS, GCP, Azure |
| MFA enforcement | Identity provider API |
| User access lists | SSO/IdP user exports |
| Code change approvals | GitHub PR API |
| Deployment records | CI/CD platform API |
| Device compliance | MDM integration |
| Application controls | AI-captured screenshots and workflows |
| Encryption settings | Database and storage API checks |
Benefits
- Time savings: 40-80 hours of manual evidence collection reduced to 5-10 hours
- Consistency: Same evidence quality every time, no missed screenshots
- Continuous readiness: Always audit-ready, not scrambling before the audit
- Cross-framework reuse: Automated evidence maps to multiple frameworks simultaneously
- Reduced audit cost: Auditors spend less time requesting additional evidence
Where Screenata Fits
Screenata automates compliance evidence at the application level — the layer that traditional GRC platforms miss. It captures screenshots, configuration states, and control validations from your actual application interfaces, complementing the infrastructure monitoring that API-based tools handle.