No Hallucinations · Est. 2026
No Hallucinations
Grounded analysis on AI risk, cybersecurity, and governance. No hype. Posts tied to real enforcement milestones and observed patterns.
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Governance · November 2, 2026
The AI Evidence Package: What Makes Governance Defensible Under Audit
A governance program that cannot produce evidence is indistinguishable from one that does not exist. The five-stage evidence lifecycle and where programs fail in it, the four properties that make an artifact audit-ready, the seven artifact categories that carry most frameworks, and how the same evidence gets packaged four different ways depending on who is asking.
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Governance · October 19, 2026
Beyond High-Medium-Low: Scoring AI Risk Defensibly
A worked example applying the seven dimensions of AI risk to an applicant screener, a five-step rubric to build your own, and when FAIR-AIR earns a place alongside qualitative scoring. Includes a new 1–4 dimension rubric chart (Low / Medium / High / Critical) and single-dimension hard stops that catch the risk a composite average would hide.
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Governance · October 14, 2026
The Floor of Defensible AI: Reaching Governed and Moving Beyond
Three-quarters of organizations are stuck below Governed. The 2026 research — Credo AI, Deloitte, Gartner, Forrester, Continuum GRC — tells us exactly why. Three traps keep them there, three objectives clear them, and a new transition chart shows what Sanctioned lacks that Governed contains.
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Governance · October 2, 2026
Approval Without Governance Is Worse Than No AI at All
A deep dive into the three stages where 74% of organizations sit — and the specific exposure each one carries. Named cases: the Ontario hospital Shadow AI breach, Mobley v. Workday, SEC AI-washing enforcement, EU AI Act fines going live, and the cyber-insurance coverage gap now opening in 2026 renewals.
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Governance · September 18, 2026
The Governance Gap: Where 74% of Organizations Are Stuck With AI
Two independent 2026 surveys agree: three-quarters of organizations sit on the ungoverned side of AI. A companion piece to the AI Governance Lifecycle graphic — what the curve shows, why the front is so crowded, and what closes the gap.
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Governance · September 11, 2026
Why AI Governance Fails Before It Starts
Most AI governance failures trace back to the same root cause: the framework was built on top of unresolved data governance gaps. The three premature launches — and the five preconditions that make governance actually work.
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More posts coming soon.
Tied to real enforcement milestones and observed patterns.
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