The access layer: an overlooked driver of modernization ROI

CIOs are being asked to improve user experience and strengthen identity controls while preserving access to the systems that still run critical workloads. Balancing those priorities becomes harder when the access environment has evolved piecemeal around the systems themselves.  Yet the way employees securely connect to those systems often receives far less attention. Many organizations…

Data readiness starts with reducing friction

Most organizations don’t realize they have a data readiness problem until they try to do something new with their data. I’ve seen organizations invest heavily in modernization only to discover they’re still spending too much time finding and validating data. Many have more information than ever before yet answering a simple business question can still…

Lunar Cyber Launches Token Exposure Monitoring as Infostealers Target Developer and AI Credentials

Lunar Cyber today announced Token Exposure Monitoring, a new capability designed to identify, attribute and validate Non-Human Identities (NHI) and machine credentials inside infostealer logs, connect them to the affected organization, and determine which exposures require action. The rapid adoption of AI development tools, cloud platforms and automated infrastructure has put a new class of…

Why we need technology economists

The advent of AI is precisely why organizations need technology economists, not just IT finance professionals. IT finance is primarily concerned with budgeting, accounting, cost allocation, depreciation, chargebacks and financial reporting. These disciplines remain important, but they assume a relatively stable relationship between technology spending and business outcomes. AI breaks that assumption. Technology economics asks a fundamentally different…

Bedrock, Vertex or build it yourself: The AI infrastructure decision most CIOs get backwards

Across dozens of enterprise procurement reviews, I see technology executives make the same expensive mistake. They start their cloud AI strategy with the wrong question: “Which provider offers the smartest model today?” I sat through a meeting where a client’s leadership team listened to a slick 45-minute vendor pitch highlighting benchmark scores, processing limits and…

Avoid AI rogue to ruin with control and accountability

More than four years ago, Blake Lemoine, a senior software engineer assigned to Google’s internal responsible AI organization, noticed something quite odd happening with the language model for dialogue applications (LaMDA) project he was working on. As he conversed with the experimental model, he felt the chatbot responses were becoming more humanlike. The AI programming…

Why a cheaper model won’t lower your AI bill

Somebody in finance has already forwarded you the pricing comparison. A downloadable frontier-class model at a fraction of what you’re paying now, with the obvious question attached: why are we still on flagship rates? The honest answer comes in two halves. Open weights are the best thing to happen to enterprise AI buyers since the…

Why technically brilliant PMOs still lose the room

If you’ve ever watched a PMO do everything right and still lose the room, you already know the frustrating part: it wasn’t the framework. In nearly two decades building PMOs across UAE and GCC government, energy and enterprise organizations, I’ve learned that the PMOs that get defunded are rarely the ones with weak methodology. They’re…

Federal judge rules for Anthropic in Pentagon dispute, nullifies government supply chain risk designation

The Trump Administration’s decision to punish Anthropic for its stance forbidding Claude’s use in domestic surveillance and autonomous weapons by identifying it as a supply chain risk to national security was “arbitrary and capricious,” a federal judge ruled on Thursday. US District Court Judge Rita Lin said federal authorities had no legitimate reason to tell…