AI assurance starts with evidence.
InfoSecured is an independent research and practitioner resource for AI assurance, governance, and risk. Explore practical guidance, evidence-review tools, source-linked references, and research focused on what supports an AI-related decision—and what still needs review.
Tools for AI assurance and evidence review.
Structured workbooks and source-linked references for connecting risks, controls, oversight, evidence, and follow-up.
- 01Review Brief
- 02Claims & Risks / Controls
- 03Evidence, Tests & Oversight
- 04Findings, Decisions & Summary
AI Assurance Evidence Review Kit
Fourteen worksheets and 24 review prompts connect claims, risks, controls, evidence, tests, human oversight, findings and decisions. Field Guide and Worked Example are included.
View version 2.2.1Frameworks & Standards
Compare major references by purpose and status, then follow links to authoritative source material.
Browse the directory- Assurance workbooks
- Evidence templates
- Oversight resources
- Reference directories
Evidence Library
Browse practical resources for documenting AI assurance work, evidence gaps, oversight, and review decisions.
Explore the Evidence LibraryReview AI risk by issue.
Start with the specific governance, risk, or oversight question in front of you.
Human oversight
Examine whether reviewers have the information, authority, time, and escalation path needed to challenge an AI-assisted outcome.
Examine human oversight
Vendor AI risk
Review supplier testing, limitations, change controls, and the evidence your organization still needs to verify for itself.
Review vendor AI risk
Model risk
Identify changes in performance, data, assumptions, or use that should trigger challenge, restriction, or another review.
Explore model riskFeatured research.
Selected analysis on AI governance, board oversight, and regulatory fragmentation.
AI Risk Governance Under the EU AI Act and Beyond: Building an Enterprise Playbook
A practical enterprise view of AI inventories, risk assessment, cross-functional oversight, controls, monitoring, and major governance frameworks.
Read the analysisData Proves Boards Are Failing at Cyber Oversight
Research-backed analysis of why formal governance structures do not necessarily produce effective cyber oversight—and what leaders should ask instead.
Read the analysisOne World, Many Rulebooks: Surviving Fragmented Cyber Compliance
A cross-jurisdiction look at fragmented cyber requirements and how risk teams can map common control objectives without confusing compliance with security.
Read the analysis