Insights and guides on automating compliance evidence collection
Screenata defines a new category as the AI Compliance Officer for startups—replacing both the compliance platform and the consultant. It reads your codebase, writes SOC 2 policies from your real systems, collects evidence, maps controls, and guides you to certification.
Computer-use AI enables 99%+ audit reliability by autonomously testing any web interface without APIs. This breakthrough eliminates API integration gaps, reduces false negatives from 15% to <1%, and enables continuous compliance monitoring for legacy systems.
Compliance evidence automation uses AI agents and workflow recorders to automatically capture, document, and organize audit evidence—reducing manual effort by 93% while maintaining auditor acceptance and accuracy.
No. Drata automates 80% of SOC 2 through infrastructure APIs but cannot capture application screenshots or manual workflow evidence. This article explains what SOC 2 evidence Drata automates, the 20% manual gap with screenshot requirements, and how to achieve 100% automation for your audit.
Yes. AI agents will handle 80-90% of compliance testing autonomously, executing control tests, generating evidence, and detecting failures. Human oversight shifts from test execution to strategic risk management.
Screenata is an AI Compliance Officer for startups—handling policy writing, codebase analysis, control mapping, evidence collection, and readiness scoring. It's evolving toward autonomous compliance testing with continuous monitoring, predictive compliance, and self-healing workflows.
Yes. AI can monitor SOC 2, ISO 27001, HIPAA, and PCI-DSS simultaneously in real-time, providing continuous compliance status instead of quarterly snapshots. This significantly reduces multi-framework audit costs while improving coverage from quarterly snapshots to continuous verification.
Automate SOC 2 application testing documentation by using browser extensions that capture screenshots during RBAC tests, access denial attempts, and workflow validations. This guide shows how to document application-level tests automatically, reducing manual work from 45 minutes to 3 minutes per control.
Yes. AI tools use computer vision to capture screenshots, OCR to extract text, and LLMs to generate SOC 2 control descriptions. This article explains how AI automates screenshot capture for SOC 2 evidence, what auditors require for AI-generated reports, and how to ensure audit acceptance.
AI-generated compliance evidence is transforming audits from manual evidence review (80% of auditor time) to risk assessment and strategic guidance (60% ). Auditors will validate AI decisions, not screenshots—reducing audit costs 40-50%.
No. Drata and Vanta automate infrastructure evidence via APIs but cannot capture application screenshots or workflow documentation. This article explains what screenshot evidence SOC 2 auditors require, why Drata and Vanta can't automate it, and how to automate screenshot collection to eliminate 40–60 hours of manual work per audit.
Yes, browser extensions automatically record application testing and convert it into SOC 2 evidence. This guide shows how testing-to-documentation systems capture screenshots, generate control descriptions, and create audit-ready PDFs—eliminating manual documentation and reducing audit prep from 80 hours to under 5 hours.