Category: Security
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The GenAI Governance Gap: Why Enterprise AI Initiatives Fail at Scale
Over the past two years, Generative AI has moved from experimentation to boardroom priority. Executives are no longer asking whether they should adopt GenAI, but how fast they can deploy it across the organization. Customer service copilots, internal knowledge assistants, automated document processing, developer productivity tools, and decision support systems are appearing everywhere. And yet,…
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The Hidden Cost of Unpreparedness: Cloud Migration Without a Foundation
Recently I was working with a financial services company on a cloud migration project. The scope was significant: over 180 servers, multiple business-critical applications, and tight regulatory requirements. On paper, it looks like a standard enterprise migration. But there was a problem, one I’ve seen too many times before. The customer hasn’t prepared for what…
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From Vibe Coding to Spec-Driven Development: The Next Leap in AI Software Engineering
In my last post, “The Mismatch Between AI Code Assistants and Enterprise Software Development,” I talked about how coding assistants (despite their brilliance) often fail to align with enterprise reality. They generate code fast, but without context, structure, or shared understanding. The result? More rework, more debugging, and less trust. Today, I want to explore where…
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The Challenge of Responsible & Ethical AI in the Enterprise
In almost 30 years in technology, from mechatronics engineering to leading digital transformation in banking, telco, healthcare and startups, and as a Microsoft MVP, Microsoft Regional Director and AWS Ambassador, I’ve witnessed and lived many waves of innovation. The current wave, driven by AI (and increasingly by Generative AI), is unlike the ones before. It’s…
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Model Context Protocol (MCP): Unlocking LLM Integration with Responsibility
In April, I had the privilege of speaking at Global Azure Madrid, and just a couple of months later at the AWS Community Day Colombia. Two different stages, two different communities, but one common theme kept coming up: the future of AI integration. At both events, I introduced the Model Context Protocol (MCP), a new…
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Threat Modeling in the Cloud: Why It Matters More Than Ever
When organizations move workloads to the cloud, they often prioritize speed: getting applications online, scaling infrastructure, and enabling innovation. Security, while important, is sometimes treated as a checklist item handled after deployment. A few years ago, I walked into a client meeting where the mood was tense. Their development team had just completed a major…
