Research & Tools
Technical analysis, benchmarks, and tools across AI governance, data privacy, and cybersecurity.
Why AI Governance Matters for Cybersecurity
How governance gives security teams visibility, ownership, and evidence, and why customers and partners care.
Read more →How AI Governance Verification Actually Works
Model inventories, per-model risk scoring, drift monitoring, and adversarial testing.
Read more →Who Owns AI in an Organization?
Roles, collaboration, training, right-sizing, and EU AI Act role classification.
Read more →How Privacy & Security Programs Are Technically Measured
Patch remediation, PII discovery accuracy, tested response time, data flows, MFA coverage.
Read more →Third-Party AI Review Checklist
Five themes and 19 questions to put to every AI vendor, so answers can be compared side by side.
Get the checklist →AI Use-Case Inventory Template
Eleven fields to record every AI use in your organization, with an example entry and a decision-impact scale.
Get the template →AI Governance Charter Worksheet
Name the four roles, set the escalation path, and fix a review rhythm, on one fill-in worksheet.
Get the worksheet →NIST AI RMF Quick Reference
The four functions (Govern, Map, Measure, Manage) in plain language, with the questions each one raises.
Read the reference →NIST AI RMF vs. ISO/IEC 42001
Voluntary framework or certifiable standard? A side-by-side comparison and how organizations use both.
Read the comparison →AI Governance Executive Report Template
A five-section report for leadership: material risks, decisions, overdue actions, exceptions, and progress.
Get the template →Spot the Blind Spot
A 2-minute quiz on where AI quietly shows up in the apps and games you already use.
Take the quiz →New research added regularly — check back soon.