AI tokens and the ‘tokenpocalypse’
The ‘tokenpocalypse’ isn’t about scary AI bills so much as it is about the absence of sensible AI governance.
ai governance
The hidden politics of AI: sovereignty in a platform world
AI Sovereignty was never theoretical - you just weren’t paying attention
Context and control: the real future of AI in the enterprise
The AI conversation is shifting. What began as a fascination with generative tools is rapidly evolving into something far more consequential: AI as an enterprise execution engine. The real challenge is no longer producing outputs, but delivering reliable, governed outcomes at scale.
Why observability and assurance are essential in the age of AI agents
As AI agents take real actions across your business, observability and assurance move from nice‑to‑have to non‑negotiable.
AI has changed the cyber threat landscape
Artificial intelligence is now a first‑order cyber risk driver, as well as a productivity tool. AI‑accelerated threats, fragile model “harnesses,” and concentrated dependence on a few vendors demand urgent uplift in governance, resilience, and incident response.
The hype cycle and AI: why we need to stay grounded
Generative AI has hit the peak of inflated expectations. The Gartner Hype Cycle reminds us we've been here before - and shows why governance, not hype, and doing the work still matters.
AI, power, and why open institutions matter
Software and AI are never neutral; they can quietly lock in existing systems of control and power. To avoid surrendering autonomy to a few proprietary platforms, we need open, community‑governed institutions that keep AI accountable and share its benefits more fairly.