Recent Articles
Before an AI Agent Acts for Your Business, Decide What You Have Authorized
AI agents turn system access into business action. Learn how leaders can define delegated authority, human approval, and accountable ownership before connecting an agent to a
Your AI Vendor Has Documentation. Do You Have a Defensible Decision?
AI vendor documentation can inform an approval without proving that a specific business use is appropriate. Learn how leaders can connect evidence to decision accountability, operating
The AI Governance Question Regulators Are Forcing — And Most Leaders Can’t Answer
At a glance The risk: Model oversight does not by itself establish who is accountable for an AI-influenced business decision and its outcome. The governance implication:
AI Governance Is Failing at the Design Phase — Not the Review Phase
Gary Cheung · 20 February 2026 · 5-minute read At a glance The risk: Architecture and workflow choices can give AI influence or authority that a
AI Governance That Arrives Too Late: When Frameworks Exist but Risk Still Escalates
Gary Cheung · 17 January 2026 · 5-minute read At a glance The risk: AI can enter a consequential workflow before its purpose, evidence, and decision
From Guardrails to Governance: What Actually Changes When Organizations Get Serious About AI Risk
Gary Cheung · 22 December 2025 · 5-minute read At a glance The risk: A safeguard can pass its test while an AI-supported business decision has
Guardrails Are Not Governance: Why Most AI Deployments Still Fail at the Basics
Gary Cheung · 6 December 2025 · 5-minute read At a glance The risk: A technical safeguard can work while the business uses AI beyond its
Closing the Loop: How to Build an AI Data Governance Framework That Actually Works
Gary Cheung · 30 October 2025 · 5-minute read At a glance The risk: Data can remain technically valid while becoming unfit for the decision an
When Data Becomes the Weakest Link: How AI Amplifies Information Risk
Gary Cheung · 20 October 2025 · 5-minute read At a glance The risk: Information can move into prompts, retrieval stores, logs, outputs, or connected actions
AI Incident Response: How to Run a Tabletop Exercise Before a Real Crisis Hits
Gary Cheung · 6 October 2025 · 5-minute read At a glance The risk: A warning can arrive while consequential AI decisions continue because nobody has
Building an AI Escalation Playbook: Turning Oversight Into Action
Gary Cheung · Published 1 October 2025 · 4 min read At a glance The risk: A material signal can remain unresolved while teams debate ownership,
AI Model Monitoring 101: What Risk & Compliance Teams Should Actually Track Daily
AI model monitoring should make changing exposure visible in time for an accountable decision. Gary Cheung explains five signal families, ownership, escalation, and risk-based review cadence.
Beyond Checklists: Building a Proactive AI Risk Management Culture
An AI risk management culture connects control evidence to accountable operating decisions. Gary Cheung examines ownership, escalation, oversight, and learning beyond checklists.
AI Assurance: What Risk & Compliance Teams Should Actually Be Looking For
AI assurance must test whether a system is fit for a consequential decision in its operating context—and give accountable leaders evidence and authority to act.
The Human Oversight Layer: Why AI Governance Needs More Than Just Automation
By Gary Cheung · 4-minute read At a glance The risk: Automated outputs can shape consequential decisions even when a person is formally responsible. The governance
AI Risk Registers: What to Track, Measure, and Escalate
Why AI Needs Its Own Risk Register At a glance The risk: Generic enterprise risk records can miss AI-specific dependencies, changing behavior, and unclear decision ownership.
AI Bias in Risk Management: A Governance Guide
At a glance The risk: AI-assisted decisions can create unequal outcomes when data, proxies, objectives, or operating conditions do not represent the people affected. The governance
Secure AI Deployment: 5 Critical Vendor Checks for Prompt Data Privacy
AI vendor approval should be tied to the exact service, configuration, data flow, and business decision—not a provider’s general assurances. These five checks help leaders test
The AI Audit Gap: Why Traditional Risk Reviews Fall Short in the Age of Generative AI
By Gary Cheung · 5-minute read At a glance The risk: Traditional control testing can miss AI-specific exposure, changing behavior, untracked use, and decisions shaped by
Demystifying AI in Cyber and Tech: What’s Real vs. Hype?
By Gary Cheung · 4-minute read At a glance The risk: Unsupported AI claims can distort control selection, vendor reliance, and confidence in security coverage. The
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