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.
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Data is changing: static to flowing
Data is no longer a static by-product; it is a flowing asset that powers automation and AI. When it is poorly governed, AI amplifies the problems - so managing data and its risks is now a strategic imperative.
Machine overmatch in an age of software-defined war
Ukraine has shown that modern war is increasingly software-defined, data-dependent and commercially entangled. Salt Typhoon reveals what this means in peacetime: adversaries are mapping telecommunications, infrastructure and digital ecosystems long before a crisis begins.
Before you worry about AI threats, fix your security fundamentals
Most cyber breaches aren’t driven by advanced AI - they’re caused by basic failures like exposed cloud storage and poor data governance. It’s time to refocus on cybersecurity fundamentals.
The hardware crunch is here: what it means for AI and data operations
AI and data teams are heading into a period where hardware scarcity, longer lead times, and rising costs are no longer edge cases but operating conditions.
Why data minimisation matters in the age of AI-powered cyber attacks
AI is changing the risk profile of cybersecurity, turning data minimisation from a privacy nicety into a frontline defence. The less data you hold, the less there is for AI‑enabled attackers to exploit.
The coming AI jobs-pocalypse
The story we tell ourselves about technology and jobs has almost always been wrong, at least in the short term.