Insights and guides on automating compliance evidence collection
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.
HITRUST r2 assessments demand significantly more rigorous evidence than SOC 2, requiring documentation across five maturity levels. This guide compares the specific evidence requirements for both frameworks and explains how to automate collection for MyCSF and audit partners.
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.
Continuous compliance automation eliminates the risk of audit failure by replacing last-minute manual screenshots with always-on evidence capture. This article explains how AI tools automate SOC 2 evidence collection to prevent control drift and missing documentation.
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.
Screenshots and workflow recordings provide the visual proof and point-in-time evidence required for application-level control validation. They bridge the '20% gap' that automated GRC tools cannot cover, ensuring auditors can verify human-centric processes and UI-based security controls.
AI agents automate audit evidence by using computer vision and browser extensions to capture, annotate, and organize screenshots during control tests. This eliminates the manual screenshot-and-paste burden, reducing documentation time by 90% while ensuring auditor-ready compliance for SOC 2 and ISO 27001.