Rumblings of My Mind | Enterprise Signal More discoveries could mean shorter vulnerability lifetimes. Getting there requires the same ambition for remediation that AI is bringing to discovery. Finding a vulnerability is progress. It reveals a weakness that can now be understood and repaired. But discovery also creates work. Someone must
An investigation into AI providers, sovereign models, technology dependencies, and a question that turned out to be considerably less straightforward than advertised. It started with a fairly innocent question. What happens when an enterprise decides to leave its AI provider? Given how enthusiastically organisations are weaving AI into everything from
Love, Actually. Subscription Required. Love has acquired a settings menu. There are preferences to configure, memories to manage and, on some services, a subscription to renew. “It’s complicated” may now involve checking your account tier. We have spent centuries writing poems about enduring love. We are rather less practised
AI is making some of the most visible work in governance, risk and compliance remarkably easy to reproduce. But that does not necessarily mean GRC platforms themselves are becoming commodities. I started thinking about this after encountering what felt like a sudden proliferation of relatively inexpensive GRC platforms. The demos
What happens when the data stays the same, but the world around it doesn’t? Most enterprise data is spectacularly boring. Names. Employee IDs. Phone records. Travel history. Building-access logs. Authentication timestamps. Backups. Cloud regions. Nobody collecting any of this is usually thinking about geopolitics. HR needs to manage