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51 Must-Know Phishing Statistics for 2023

IT Governance

Phishing is one of the most common and dangerous forms of cyber crime. Despite an array of technological solutions designed to counter phishing attacks – from antimalware software to password protections – the main weapon in anyone’s arsenal should be knowledge and awareness. How common are phishing attacks?

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FBI warns of crooks targeting online shoppers during the holiday season

Security Affairs

.” Cybercriminals will attempt to entice their victims in multiple ways including: E-mails advertising hot-ticket or products that are hard to find on the market, such as event tickets or gaming systems. Unsuspecting online shoppers could also fall victim of identity theft of phishing attack aimed at stealing their payment card data.

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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11 cyber security predictions for 2020

IT Governance

With better audio and video simulations, phishing will move on from email and text to things like Facebook videos. The retail and hospitality industries will continue to have their POS equipment targeted. Deep fake technology will be used in social engineering attacks. Business email compromise attacks will increase.

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2022 Cyber Security Review of the Year

IT Governance

However, thanks to the event organisers’ effective planning, the contest was largely unaffected. The Italian authorities said that more than 100 police officers monitored the event, enabling them to spot and respond to the attacks promptly. All signs pointed to a senior employee being tricked by a spear phishing or whaling scam.

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Attacks against machine learning — an overview

Elie

as highlighted in the video above. While there are many unpredictable underlying reasons why new attacks emerge, in our experience the following two types of events are likely to trigger their emergence: New product or feature launch : By nature adding functionalities opens up new attack surfaces that attackers are very quick to probe.

Mining 107
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Attacks against machine learning — an overview

Elie

as highlighted in the video above. While there are many unpredictable underlying reasons why new attacks emerge, in our experience the following two types of events are likely to trigger their emergence: New product or feature launch : By nature adding functionalities opens up new attack surfaces that attackers are very quick to probe.

Mining 91