Insights and guides on automating compliance evidence collection
Proving application access restrictions for SOC 2 requires concrete screenshot evidence of 'access denied' states, not just policy documents. This article explains how to automate negative testing for Control CC6.1, capturing valid proof that unauthorized users are blocked from sensitive data.
SOC 2 auditors require specific evidence for change approvals, including pull request screenshots, ticket authorization, and deployment logs. This guide explains exactly what evidence to collect for CC8.1 and how to automate the documentation process.
Internal auditors spend 40% of their time on manual procedural tasks. This guide shows how to automate internal audit evidence collection using AI-powered tools, reducing workpaper preparation from 60+ hours to under 10 hours per audit. Learn step-by-step techniques for automating control testing, evidence capture, and workpaper generation that comply with the 2026 Global Internal Audit Standards.
HITRUST CSF certification is the gold standard for proving HIPAA compliance, but it requires rigorous evidence documentation. This guide explains how health systems can automate the collection of screenshots and implementation evidence to satisfy both HITRUST assessors and HIPAA auditors.
Internal auditors can automate EU AI Act evidence collection by using AI agents to capture technical documentation, validation logs, and screenshots of human oversight controls. This guide explains how to streamline compliance for High-Risk AI systems and reduce manual documentation efforts.
Even with Drata, you're still manually screenshotting admin panels, writing access control policies, and uploading evidence for controls like CC6.1 and CC8.1. This is the specific list of manual tasks Drata leaves on your plate and how long each one takes.
Multi-tenant SaaS platforms require rigorous evidence to prove data isolation during SOC 2 audits. This guide explains how to automate evidence collection for tenant separation controls using screenshots and workflow recording, ensuring you pass CC6.1 and CC6.7 without manual sampling.
Choosing between AI agents and RPA for compliance automation depends on the complexity of your workflows. While RPA excels at high-volume, static tasks, AI agents are superior for compliance evidence collection because they handle dynamic UI changes, perform autonomous reasoning, and close the 20% manual gap in SOC 2 and ISO 27001 audits.
Drata automates infrastructure monitoring, but SOC 2 audits still require manual evidence for application controls. This guide explains how to extend Drata with automated screenshots to close the 20% manual gap and ensure a fully automated audit.
The new Global Internal Audit Standards (GIAS) mandate stricter requirements for evidence reliability, relevance, and sufficiency. This article explains how the 2025 standards impact audit documentation and why manual screenshots often fail to meet the new conformance criteria.
SOC 2 Type II audits require proof that controls operated effectively over a period of time. While APIs handle infrastructure, application-level tests often remain manual. Screenata automates SOC 2 control testing by capturing screenshots, validating workflows, and generating audit-ready evidence packs automatically.
Manual evidence collection is the hidden driver of high SOC 2 costs. By using automated tools to capture screenshots and generate audit-ready reports, high-growth companies can reduce operational compliance costs by 90% and shorten audit timelines. This article explains the ROI of evidence automation.