The problem
Scams are not the victim's naivety.
They are a criminal product, well made and aimed at the person. They do not exploit a software vulnerability: they exploit trust, urgency and fear. It is an attack on the reader's judgment, not on the device.
What social engineering is
A courier text with a link to release your parcel. A call from a fake operator. An email that looks like your bank. A message from a child's new number asking for money in a hurry. None of these contains a virus: they contain persuasive, technically clean text that no antivirus blocks, because it breaks no technical rule.
The attack vector is the reader's mind, not the phone. That is why tools built to protect the device always arrive after the damage.
The global picture.
Of successful cyber attacks against people start from human error, not from a flaw in the machine.
IBMOf adults have been hit by an attempted scam.
GASA, global and European figure, not ItalianOf those who fell for a scam did so because the message was too credible to tell apart.
GASA, global and European figure, not ItalianIn Italy the problem is structural.
Italian citizens who fall victim to scams in a single year.
Federconsumatori, 2024The estimated annual damage in Italy, including the hidden share and banking fraud.
FederconsumatoriThe share of global cyber attacks that hits Italy, despite it being roughly 1% of world GDP.
Industry figureAnd it is about to get worse.
Language models have driven the cost of producing scams to zero: today 82.6% of phishing emails contain text generated by artificial intelligence, indistinguishable by eye from a real message. What once required a criminal organization now takes a single prompt.
Source on the share of AI in phishing campaigns: industry data cited in the plan.
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