Insights and guides on automating compliance evidence collection
HITRUST r2 assessments evaluate controls across five maturity levels. While Policy and Procedure require standard documentation, the Implemented level requires manual screenshots and system configurations. This guide explains how to automate HITRUST evidence collection across all required CSF control domains.
Choosing between HITRUST e1, i1, and r2 assessments depends on your risk profile and buyer requirements. This guide explains the differences, what evidence HITRUST assessors require for each certification, and how to automate documentation collection across CSF control domains.
Employee transitions are the most common source of SOC 2 audit exceptions. This guide explains how to automate onboarding and offboarding compliance evidence, what auditors actually check, and how to capture screenshots for systems that lack API integrations.
Internal auditors increasingly flag cloud vendor concentration risk as a critical vulnerability. This guide explains what evidence auditors actually require to prove resilience against single points of failure, and how to automate the collection of vendor risk documentation.
ISO 42001 compliance requires evidence that your AI Management System (AIMS) controls are operating effectively. This guide explains how to automate ISO 42001 evidence collection using screenshots to document data pipelines, model testing, and human oversight workflows.
The IIA's Cybersecurity Topical Requirement makes specific technical testing mandatory for internal audits starting in February 2026. This guide explains how to automate internal audit evidence collection, replace manual screenshots, and upgrade your workpapers to meet the new standards.
The 2026 Global Internal Audit Standards require stricter documentation for control testing and quality assurance. This guide explains how to perform a gap assessment against the new IIA standards and automate evidence collection to ensure your internal audit working papers pass external review.
Yes. Internal audit teams can replace manual sampling of 25-50 items with continuous data testing that evaluates 100% of the population. This guide explains how automated evidence collection transforms internal audit workpapers and where traditional tools fall short.
To secure budget for audit software, CAEs must prove ROI by calculating the exact cost of manual evidence collection. This guide provides the formula to justify internal audit automation to your CFO, aligning with IIA Standard 10.3 and eliminating the hidden costs of manual screenshots.
This 2026 internal audit evidence collection checklist covers the exact documentation and screenshots required for IT and security controls. While APIs handle infrastructure, application-level evidence requires manual collection. Learn how to automate this process to ensure your evidence meets auditor IPE standards.
Yes. A VRM AI agent can automatically review third-party security assessments, capture SOC 2 CC9.2 evidence, and document vendor approvals. This guide explains how to automate vendor risk management documentation and where traditional compliance tools fall short.
AI Questionnaire Assistance (AIQA) automates security questionnaire responses by reading your SOC 2 policies, extracting screenshot evidence, and drafting accurate answers. This guide explains how security questionnaire automation works, why manual reviews take so long, and where traditional tools fall short.