Insights and guides on automating compliance evidence collection
Compliance automation shifted from simple infrastructure monitoring to AI-agentic evidence capture in 2025. Discover the ten trends—including the closure of the '20% manual gap' and automated CMMC 2.0 readiness—that will define the audit landscape in 2026.
Screenata integrates with Jira, GitHub, and CI/CD pipelines to enable continuous compliance by triggering AI-driven evidence collection during the development lifecycle. This integration automates documentation for change management (CC7.2) and access controls (CC6.1), ensuring audit-ready evidence is captured at the moment of action.
SOC 2 auditors require screenshots for application controls that infrastructure APIs cannot verify—specifically CC6.1 (logical access), CC7.2 (change management), and CC8.1 (vulnerability management). This article explains what evidence auditors want, why infrastructure logs aren't enough, and how to collect audit-ready screenshots with timestamps and metadata.
Yes. AI tools can automatically capture SOC 2 CC8 evidence for manual changes by recording workflows, validating screenshots, and generating audit-ready reports. This article explains how to satisfy change management requirements for SaaS configurations and manual processes where traditional GRC automation fails.
Even with Drata, auditors still ask for manual SOC 2 evidence like application screenshots, change management approvals, and access control workflows. This article explains the specific artifacts Drata cannot automate and how AI tools fill the gap.
Vanta automates 80% of SOC 2 through infrastructure APIs but leaves 40–60 hours of manual screenshot collection. This guide shows how to achieve 100% SOC 2 automation by combining Vanta's infrastructure monitoring with screenshot automation for application evidence that APIs cannot capture.
SOC 2 auditors require screenshots with timestamps, metadata, tester identity, and control mapping—not just static images. This checklist shows what makes SOC 2 evidence acceptable for application controls like CC6.1 and CC7.2, including AICPA standards for sufficiency, reliability, and relevance.
Drata automates approximately 80% of SOC 2 compliance through API-driven infrastructure monitoring. However, it stops at application-level controls and manual process verifications. Discover how to close the '20% manual gap' using AI-driven evidence capture to achieve 100% audit readiness.
Automated SOC 2 evidence collection uses AI-powered recorders to capture application-level tests, screenshots, and metadata. It replaces manual documentation with audit-ready PDF packs, closing the '20% gap' left by traditional GRC tools like Vanta and Drata.
To automate SOC 2 evidence collection, use GRC platforms (Drata, Vanta) for infrastructure APIs (80%) plus screenshot automation for application evidence (20%). This guide shows step-by-step how to automate SOC 2 screenshots, workflow documentation, and audit-ready reports—reducing manual work from 80 hours to 6 hours per audit.
Yes. AI agents can now automate SOC 2 evidence collection by performing manual control tests, capturing screenshots, and generating audit-ready reports. This article explains how to move from manual evidence collection to autonomous verification for SOC 2, ISO 27001, and HIPAA, closing the 20% gap left by traditional GRC tools.
GRC platforms like Drata and Vanta automate infrastructure monitoring but leave a '20% manual gap' for application-level evidence. This guide explains how to integrate screenshot automation with your existing GRC platform to automatically capture, validate, and sync audit-ready evidence packs for SOC 2, ISO 27001, HIPAA, and CMMC.