Insights and guides on automating compliance evidence collection
ISO 42001 requires concrete evidence that your AI management system actually controls model risks and data pipelines. This guide explains how to automate ISO 42001 evidence collection by capturing screenshots of MLops workflows, data governance rules, and model testing environments that traditional GRC platforms miss.
Yes. AI tools can automatically capture SOC 2 screenshots, validate them, and generate audit-ready evidence that auditors accept. This article explains how automated evidence collection works for SOC 2 and where traditional tools fall short.
You can automate SOC 2 evidence in your CI/CD pipeline by triggering headless browsers to capture visual UI artifacts after deployments. While traditional DevSecOps tools log infrastructure checks, auditors still require screenshots for application-level controls. This guide explains how to bridge the gap between pipeline logs and audit-ready evidence.
Yes. You can automate SOC 2 evidence collection across multi-cloud environments by centralizing screenshots and API data. This guide explains how to handle cloud integrations for AWS, Azure, and GCP so you stop logging into three different consoles during an audit.
Yes. You can automatically push Screenata evidence packs directly into Drata and Vanta. This guide explains how to automate SOC 2 screenshot collection and map those files to specific GRC control IDs so you never have to manually upload evidence again.
Yes, you can automate PCI DSS evidence collection for application-layer controls. While GRC tools handle cloud infrastructure, QSAs still require manual screenshots to prove PAN masking, UI-based access controls, and custom workflows. This guide explains what visual evidence proves cardholder data protection and how to automate it.
The State of GRC 2026 survey of 795 practitioners reveals that 59% of teams lack commercial tools, relying on spreadsheets for audits. This article breaks down the five biggest takeaways from the report, why CISOs reject traditional platforms, and how automated evidence collection solves the auditor format problem.
Yes, auditors frequently reject API-generated data from GRC platforms. They require timestamped screenshots and PDF exports to satisfy Information Provided by the Entity (IPE) standards. This article explains the auditor format problem and how to automate SOC 2 evidence collection in the format assessors actually accept.
The State of GRC 2026 survey reveals a massive divide in compliance tooling. At high technical skill levels, GRC practitioners buy commercial platforms while security engineers build their own. This article explains the Persona Cliff, why engineers reject traditional tools for SOC 2 audits, and how to automate evidence collection without maintaining custom scripts.
SOC 2 reports follow a specific structure defined by the AICPA. This guide breaks down each section, explains who writes what, and shows you exactly what to look for when evaluating a vendor's report or preparing your own.
The State of GRC 2026 survey reveals the average compliance practitioner's technical skill is 5.4 out of 10. This explains why teams struggle with SOC 2 evidence automation. When platforms require custom API scripts to capture screenshots and documentation, mid-skill practitioners get stuck.
73.6% of CISOs use no commercial GRC tool for SOC 2 audits. Instead of buying platforms, highly technical security leaders rely on custom builds and open source because traditional tools fail to automate the actual screenshot evidence collection auditors require.