What's to become of us in this AI age?
AI has commoditized intelligence. Here's how to think about career, purpose, and the human skills that still matter in the age of AI.
To Succeed in AI, You Need Less AI and More Human Connections
The fastest career transition in AI isn't a certification or a portfolio project. It's a conversation. Here's the framework I've used — and why human connection is still the most underrated career strategy.
The Three Problems With AI That Cybersecurity Leaders Can't Ignore
The world needs AI. But it has real problems - AI black box problem, AI bias feedback loop, AI arms race risk. Here's what every security leaders should know.
What the Fable 5 Shutdown Reveals About Model Availability Risk for Enterprises
Anthropic's Fable 5 and Mythos 5 went offline overnight on a government directive. Here is the new enterprise risk category nobody has a framework for and five ways to mitigate it.
Tokenmaxxing-Here's why heavy usage and good outcomes are not the same thing.
Tokenmaxxing is creating a governance vacuum that nobody in the organization owns. Here is what is driving it and what fixing it actually looks like.
Three mistakes enterprises are making on EU AI Act compliance—and how to fix them before December 2027
EU AI Act high-risk compliance deadline is December 2027. Three operational mistakes CISOs are making—and how to fix them before the audit arrives
Introducing the SAGE AI Security Model™: A Framework for Securing Enterprise AI Systems
Learn about the SAGE AI Security Model—a structured architecture and governance model for securing AI systems across data, models, applications, and governance.
The Emerging Attack Surface of Generative AI
From prompt injection to AI agents, discover the expanding attack surface of generative AI and how it impacts enterprise security.
The AI Security Gap
Why traditional cybersecurity models cannot protect AI systems