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…

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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…

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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…

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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…

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