The number of reported cyber incidents and online threats in Switzerland rose sharply last year, according to the National Cyber Security Centre (NCSC).
Last year, almost 63,000 cyber-related incidents were reported to the National Cyber Security Centre (NCSC) in Switzerland, an increase of 13,500 cases over the previous year. Between July and December, the NCSC recorded more than 28,000 incidents, slightly fewer than in the first half of 2024.
Fraud, phishing and spam messages continue to be the most frequently reported incidents. The increase on the previous year is mainly due to the phenomenon of false calls in the name of the authorities, with almost 22,000 reports compared with around 7,000 the previous year.
On the other hand, the number of e-mail threats has dropped. Over the past four years, fraudsters have used the telephone more as a communication channel.
The FBI is warning the public that criminals exploit generative artificial intelligence (AI) to commit fraud on a larger scale which increases the believability of their schemes. Generative AI reduces the time and effort criminals must expend to deceive their targets. Generative AI takes what it has learned from examples input by a user and synthesizes something entirely new based on that information. These tools assist with content creation and can correct for human errors that might otherwise serve as warning signs of fraud. The creation or distribution of synthetic content is not inherently illegal; however, synthetic content can be used to facilitate crimes, such as fraud and extortion.1 Since it can be difficult to identify when content is AI-generated, the FBI is providing the following examples of how criminals may use generative AI in their fraud schemes to increase public recognition and scrutiny.
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Cyber attacks are common occurrences that often make headlines, but the leakage of personal information, particularly credit card data, can have severe consequences for individuals. It is essential to understand the techniques employed by cyber criminals to steal this sensitive information.
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