What AI agents can do, where they break and what risks they bring into a company, security included. Without the hype that usually comes with them.
An agent is not a chatbot with a new name: it is a system that receives a goal, picks the steps itself and uses real tools, which means it can get them wrong. That is what makes the topic interesting and risky at once: the same autonomy that saves hours is the one that, without limits, writes in the wrong place.
Here you will find what they can do today, the typical ways they break (hostile instructions hidden in data, permissions that are too broad, no record of what they did) and why a significant share of agent projects gets cancelled before reaching production.
5 articles in this topic, updated 17 Aug 2026
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