Insights and guides on automating compliance evidence collection
Yes. You can automate access control evidence for SOC 2 audits by using AI agents to capture timestamps, screenshots, and validation steps for logical access tests. This guide explains how to automate evidence for CC6.1, CC6.2, and CC6.3 without manual screenshotting.
ISO 27001 risk assessment evidence requires more than a spreadsheet; auditors demand proof of methodology application, risk owner approval, and treatment plan execution. This guide explains how to automate the documentation of risk assessments to satisfy Clause 6.1.2 and 8.2 requirements efficiently.
Yes. You can automate continuous compliance evidence collection across SOC 2, ISO 27001, HIPAA, and CMMC using AI tools that capture screenshots and validate controls automatically. This article explains how to bridge the 20% manual gap left by traditional GRC tools to maintain audit-ready evidence year-round.
ISO 27001 certification audits demand evidence for all applicable Annex A controls in your Statement of Applicability. This guide shows how to automate ISO 27001 evidence collection—specifically screenshots and workflow documentation—to reduce Stage 2 audit preparation time by 75%.
ISO 27001:2022 reduces the control count from 114 to 93 but introduces 11 new controls requiring dynamic evidence. This guide explains the key evidence changes, how to document the new 'Technological' theme with screenshots, and how to automate the transition before the October 2025 deadline.
Acceptable SOC 2 CC6 screenshots must include verifiable metadata, clear system context, and timestamped proof of control execution. This guide explains the specific requirements for auditor-ready evidence and how to automate the collection of application-level screenshots that traditional GRC tools miss.
SOX ITGC compliance in 2026 requires moving beyond point-in-time audits to continuous monitoring. Discover how AI-driven evidence capture and automated workflows close the 20% manual gap in access controls, change management, and system operations.
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.