Artificial Intelligence (AI) has become one of this decade's defining technologies. From healthcare and finance to manufacturing and education, organizations increasingly rely on AI to automate repetitive tasks, uncover patterns hidden within large datasets, and support faster decision-making.
Artificial Intelligence (AI) has become one of this decade's defining technologies. From healthcare and finance to manufacturing and education, organizations increasingly rely on AI to automate repetitive tasks, uncover patterns hidden within large datasets, and support faster decision-making.
In context
- Topic: Ciberseguridad — Riesgo, identidad, respuesta a incidentes y cumplimiento.
- Source: The Hacker News
- Published: 21/08/2026
Continue reading at the original source →
Excerpt published automatically by the site radar. The full text belongs to its publisher and is linked above.
Why it matters
In security the story is rarely the attack. It is the time between the intrusion and somebody noticing. That number says more about an organisation than any certificate hanging on the reception wall.
I separate technical risk from business risk, because they do not always match. A critical vulnerability in an isolated system matters less than a medium one in the system that issues invoices. Prioritising by severity without looking at where the money is is an expensive way to work hard and protect little.
What usually goes wrong
Where it usually breaks is response, not prevention. There are tools, there are alerts, and when something real happens nobody knows who decides to disconnect, who gets called first, or what the customer is told. Valuable hours get lost arguing about that while the problem grows.
What to watch
- How it was communicated to customers and regulators, which is where reputational cost is decided.
- Whether third parties or suppliers were in the chain, because the perimeter now includes partners.
- How long it took to detect, usually the most revealing metric in the whole case.
How I read this entry
What I would review this very week is access: accounts belonging to people who left, permissions that grew without anyone trimming them, and shared credentials everybody swears do not exist. It is the least glamorous work and the one that cuts off the most attacks.
This entry is an excerpt from the original source, selected by the site radar. The commentary above is the site's own and does not belong to the cited publisher.
Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
