Table of Contents

Audit-defensibility isn't a document you write after the fact — it's a property you engineer into the AI pipeline so its normal operation emits evidence as exhaust.

Everyone read 'EU AI Act deferred to 2027' and exhaled — but the part that fines you 3% of global revenue turns on in August. The four 2026 rules with teeth, on one page.

A frontier model went dark three days after launch; here's how I make AI inference survivable on AWS when the provider is a dependency you don't control.

We spent a decade learning cloud FinOps and are repeating every mistake with LLM spend — here's the operating model that meters, routes, and caps it.

Your agents already outnumber your people, they can authenticate but not prove they're authorized, and that's the gap SOC 2 and HIPAA were never built to close.

Prompt injection isn't a bug a vendor will patch — it's a property of how models read context, so design systems that stay safe even when the model is fully hijacked.

Standing up an agent takes an afternoon; the control plane that lets it touch production safely is the actual engineering work, and almost nobody shows it.

Most teams pick a frontier model like a sports team and never revisit it — but model selection is a routing, capacity, and risk decision you already know how to make.

Why provable security closes deals in regulated industries — and why the next budget conversation should lead with revenue, not fear.

Every AI governance framework describes the same controls. The one that actually matters is a single design decision: does this output get acted on, or interpreted first?

Cutting ~35% off a multi-region AWS footprint with no capability loss — the levers in the order they paid back, best first.

An automated tool scores your Azure posture; an assessor walks your architecture. The eight domains I review, in the order an audit walks them, and the evidence each one has to produce.

Cutting through the threat inflation: what genuinely shifts for attackers, what doesn't, and where to harden.

Point-in-time certification is the floor, not the goal. The case for continuous assurance over annual audits.

A framework for what security work to hand to machines, and the line you should never let automation cross.

Translating security for boards and investors — the three questions leadership actually asks, and how to answer them.

The case for the dual mandate, and why org-chart distance doesn't create security.

Mid-market capital allocation is rarely a strategy — it's individual capex, M&A, and debt decisions made in isolation. The governance framework that makes it programmatic.

The fifty-page board pre-read is the artifact most responsible for meetings that produce no decisions. Three sections fix it.

The post-close decade is decided in the first 100 days. The eight cyber controls to ship by day 30, and the identity-sprawl audit every exit diligence will run.

The press-release version of cloud savings cancels workloads and books compliance debt. The version that lasts is commitment management and SaaS rationalization.