Why AI ‘Frontier Models’ Are Changing Cyber Defense For Good

This article explains how vulnerability management is changing and what organizations will need to do to adapt.

Lessons From Hiring 100 People In 90 Days

Most leaders treat speed and standards as a trade-off when hiring, but you can get faster by cutting the steps that protected quality.

The Profitable Layoff: Why Cutting Workers To Fund AI Is A Bet, Not A Saving

Before you sign off on the next round, ask the one question that separates the two: Are you cutting because the AI works—or to pay for AI that might?

When Manual Work Signals A New Product Capability

Once customers experience internal coordination as a delay, the workflow has become part of the product experience.

Why Enterprise AI Needs To Move From Demos To Measurable Outcomes

AI value is created when an answer is trusted, acted on, embedded into a process and measured against a business outcome.

AI Isn’t Closing The Skills Gap—It’s Exposing The Validation Gap

I argue that we don’t have a skills gap—we have a validation gap.

Why Enterprise Transformation Fails Without Operational Orchestration

Competitive advantage will depend less on the quantity of technology implementations and more on the ability to integrate modernization initiatives.

​Avoiding The AI Automation Trap: Lessons From The 1980s And The Path To AI-SDLC

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

Getting Comfortable With The Uncomfortable: Why Securing AI Agents Is A Business Imperative

The rise of agentic AI means businesses need to take new steps to establish security and trust.

Building Software Got Easy—Controlling It Didn’t

Runtime control isn’t the thing that slows innovation down. It’s the thing that makes sustained innovation possible.