Insights and guides on automating compliance evidence collection
Automating SOC 2 evidence collection involves using AI-driven agents to record application workflows, capture timestamped screenshots, and generate audit-ready PDF evidence packs. This process eliminates the '20% manual gap' left by traditional GRC platforms, reducing audit preparation time from weeks to hours.
SOC 2 change management evidence does not require Jira. You can satisfy auditors by automating evidence collection from GitHub, Linear, or Slack using screenshots and workflow recordings. This guide explains how to prove CC7.2 compliance without a traditional ticketing system.
In 2026, AI agents have transformed compliance from manual prep work to autonomous policy writing, evidence collection, and audit readiness. Screenata's AI Compliance Officer uses agentic AI to replace both the GRC platform and the compliance consultant, reducing audit preparation time by 92% through codebase analysis, automated policy drafting, and verifiable evidence packs.
Vanta does not natively take screenshots to document application-level SOC 2 controls. While Vanta automates infrastructure monitoring via API, it requires manual uploads for UI-based evidence. This guide explains how to use Screenata to automate screenshot capture and sync evidence packs directly to Vanta.
Detecting changes that affect compliance controls requires continuous monitoring of application workflows, not just infrastructure APIs. This article explains how Screenata detects UI and process changes that impact SOC 2 and ISO 27001 controls, ensuring your evidence remains valid between audits.
SOC 2 auditors require screenshots of application-level controls like RBAC, change management workflows, and vulnerability dashboards. While Drata automates infrastructure monitoring via APIs, it cannot capture application UI evidence. This article explains what visual evidence auditors require and how to automate screenshot collection for SOC 2 audits.
Third-party risk management (TPRM) evidence requirements include vendor risk assessments, SOC 2 report reviews, and signed Data Processing Agreements (DPAs). This guide explains exactly what evidence auditors require for SOC 2 CC9 and ISO 27001 A.5 controls and how to automate the collection of vendor due diligence documentation.
Drata automates 80% of SOC 2 but cannot capture application screenshots or UI workflows. This step-by-step guide shows how to automate the 20% manual gap using screenshot automation for SOC 2 controls like CC6.1, CC7.2, and CC8.1 that require visual evidence.
ISO 27001 certification requires proving that every control in your Statement of Applicability (SoA) is implemented and effective. This guide details the exact evidence, screenshots, and logs auditors require for Annex A controls and explains how to automate 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.