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Europe is betting on law, North America on the market and the courts, APAC on guidance. Where enterprise AI governance stands in each region in 2026, what each can learn from the others, and one baseline that holds in all three.

60% of Malaysian workers now use AI regularly, yet confidence in technology fell seven points in a year, and Gen X fell furthest. What the data says, five moves that rebuild confidence, the public funding employers have not used yet, and what we learned training executives in Nigeria.

You can't tell your board your AI agents are safe if you've never attacked them. Mature security programs already run red, blue and purple teams for infrastructure. AI agents need the same three, and the one that matters most is the loop that turns findings into fixes.

A kill switch that targets one agent at a time is the wrong shape when the incident is a group. Roshan Shaik, CEO & Co-founder of RuntimeAI, explains how a governed catalog became a kill-switch scope, in partnership with Agents Stack.

Securing one AI agent today means stitching together 28+ point solutions across ten distinct attack surfaces, and still leaving gaps between every one. Here's why Agents Stack secures agents as one platform instead of one more tool for the stack.

What six recent breaches reveal about connecting AI agents to patient data. None of this summer's healthcare breaches were AI attacks, but they hit the exact systems agents are now being connected to. With an agent in the loop, the next one is faster, wider and harder to prove.

The future isn't just about iterating on existing solutions; it's about pioneering transformative change. And few sectors are as ripe for disruption or as critical to our planet's well-being as the global fishing and seafood industry.

A US executive order on grid equipment, a UK regulatory review, and three intrusions that reached systems nobody was assigned to watch. Five stories across four regions. Two governments acted this week to extend cyber obligations to equipment and operators that had previously sat outside their scope. In the same week, three separate intrusions reached systems that were documented and, in most cases, inventoried, but not continuously monitored by anyone in particular. The connection between the two is the subject of this edition.

Every AI budget covers models and use cases. Almost none covers the layer that decides whether either one can be trusted. Open almost any enterprise AI budget and you will find two line items. Model spend, and use-case development. You will rarely find a third line for the infrastructure that determines whether either of the first two can actually be trusted: identity, audit trails, and the ability to prove what an agent did.