Insights and guides on automating SOC 2 compliance evidence collection
Screenshots and workflow recordings provide the visual proof and point-in-time evidence required for application-level control validation. They bridge the '20% gap' that automated GRC tools cannot cover, ensuring auditors can verify human-centric processes and UI-based security controls.
AI agents automate audit evidence by using computer vision and browser extensions to capture, annotate, and organize screenshots during control tests. This eliminates the manual screenshot-and-paste burden, reducing documentation time by 90% while ensuring auditor-ready compliance for SOC 2 and ISO 27001.
Screenata defines a new category in compliance automation by bridging the gap between infrastructure monitoring and manual application testing. It uses AI-powered agents to record workflows, capture screenshots, and generate audit-ready evidence packs for SOC 2, ISO 27001, and HIPAA.
Yes. Modern compliance automation platforms like Screenata use cross-framework mapping to satisfy SOC 2, ISO 27001, HIPAA, and CMMC requirements simultaneously. By capturing evidence once and mapping it to multiple control IDs, organizations reduce manual audit workloads by up to 80% and eliminate redundant testing.
Screenata unifies compliance evidence by capturing application-level workflows once and mapping them to multiple frameworks simultaneously. This eliminates redundant documentation for SOC 2, HIPAA, ISO 27001, and CMMC, reducing audit preparation time by up to 90% through AI-powered cross-framework mapping.
Regulatory bodies like the AICPA, SEC, and NIST are shifting from 'point-in-time' audits to continuous monitoring. Continuous evidence collection ensures security controls remain functional 24/7, eliminating the compliance gap caused by rapid digital changes and providing real-time audit readiness.
Auditors trust Screenata-generated evidence packs because they provide verifiable, immutable, and contextual proof of control execution. By combining timestamped screenshots with system metadata, user identity, and professional formatting, Screenata eliminates the risk of human error and evidence tampering common in manual collection.
Compliance evidence automation delivers a 90-95% reduction in manual effort by using AI agents to capture, map, and format audit evidence. By replacing manual screenshots with automated workflow recording, companies achieve higher accuracy, faster audit readiness, and significant cost savings across SOC 2, ISO 27001, and HIPAA.
Manual compliance evidence collection breaks down at scale—consuming 80-120 hours per audit, costing $15k-$30k annually, and creating bottlenecks as companies grow. Here's why automation is no longer optional.
Screenata creates a new category by automating the 20% of compliance evidence that traditional GRC tools cannot capture—specifically screenshot-based application testing, workflow documentation, and UI validation using AI agents.
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.
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 evolving from screenshot automation to autonomous compliance testing. It handles continuous monitoring, predictive compliance, and self-healing workflows—closing the 20% gap that traditional GRC platforms can't automate.
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.
Use automated testing tools with screenshot capture that document: 1) User login with specific role, 2) Attempted actions beyond permissions, 3) System denial response, 4) Audit log entries. AI agents can perform these tests quarterly and generate timestamped evidence packages automatically.
Yes. Modern AI agents use computer vision to capture screenshots, OCR to extract information, and LLMs to generate control-specific documentation that auditors accept. Learn how AI automates evidence formatting according to SOC 2 requirements.
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%.
Drata and Vanta automate 80% of SOC 2 evidence through APIs but cannot capture application screenshots or workflow documentation. Learn what remains manual and how to automate it.
Yes. Browser extension-based systems record your testing workflows, automatically capture screenshots, use AI to generate step-by-step documentation with control mappings, and export to PDF or integrate with Vanta/Drata. This eliminates manual documentation and reduces audit prep time by 80+ hours.
Auditors require visual evidence for 25-35% of SOC 2 controls that cannot be verified through logs or APIs alone—specifically access controls, UI security, approval workflows, and application-level protections.
Screenshot-based access controls, workflow documentation, application testing, and UI validations can be automated across all major frameworks—covering 20-30% of evidence that traditional GRC tools cannot capture.
Document RBAC effectiveness by automatically capturing: 1) User permission matrices, 2) Login attempts with different roles, 3) Access denial screenshots, 4) Audit logs showing blocked attempts. Schedule these captures quarterly to maintain continuous compliance evidence.
Browser extensions with AI agents (like Screenata), RPA tools (UIPath, Automation Anywhere), and workflow documentation platforms. Browser extensions offer the best balance of ease-of-use (no IT setup), accuracy (90%+ vs 70% for RPA), and cost ().
Install a browser extension that records your application workflows, automatically captures screenshots at each step, and uses AI to generate evidence descriptions mapped to SOC 2 controls (CC6.1, CC6.2, etc.). This approach reduces documentation time by 93%.
Yes. Screenshot automation tools like Screenata export evidence packages (PDF, CSV, or API) that integrate directly into Vanta and Drata. This creates a complete compliance workflow where Vanta/Drata handles API-based evidence while screenshot automation handles web UI and workflow documentation.
Configure your evidence collection tool to automatically: 1) Capture screenshots during test execution, 2) Generate AI-powered descriptions for each step, 3) Map evidence to SOC 2 controls, 4) Format into auditor-ready PDF with table of contents, timestamps, and metadata. Most tools can schedule this quarterly.
Automate screenshot capture and evidence generation for SOC 2 audits. Reduce manual work from 40+ hours to under 2 hours with AI-powered workflow recording.
Compliance evidence automation uses AI agents and browser extensions to automatically capture screenshots, generate documentation, and organize audit evidence—transforming 60-minute manual processes into 3-minute automated workflows.
Vanta and Drata excel at automating infrastructure controls through APIs, but they cannot automate application testing, workflow documentation, or screenshot capture. This 20% gap costs companies 40-60 hours per audit cycle.
AI is transforming compliance from reactive documentation to proactive self-auditing. Discover how autonomous agents, computer-use verification, and real-time monitoring will reshape SOC 2, ISO 27001, and HIPAA audits .