Remove Artificial Intelligence Remove Big data Remove Cyber Attacks Remove Identity Theft
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News alert: AI-powered web scrapers from Oxylabs are breaking new ground in fraud detection

The Last Watchdog

“Unauthorised transactions made with the help of lost or stolen credit cards, counterfeit cards, ID document forgery and identity theft, fake identification, email phishing, and imposter scams are among the most common types of payment fraud today.”

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Cyber Security Combo: Big Data, Machine Learning and AI

Spinone

The main goal of advanced mechanisms to combat the growing numbers of attacks is to identify the weak points before the hackers do. From identity theft to credit card numbers being taken away, Machine Learning and Artificial Intelligence play an instrumental role in establishing new standards for cyber security.

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Fintech Cybersecurity Trends in 2021

Security Boulevard

Luckily, new tech trends could help keep our financial data safe even with an increase in risk. The Rising Risks The widespread shift to a work-from-home (WFH) economy left countless networks vulnerable to cyber attacks. New users unfamiliar with cybersecurity concerns can inadvertently expose their data.

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Top 5 Industries Most Vulnerable to Data Breaches in 2023

Security Boulevard

Unfortunately, the increasing reliance on digital systems and capabilities has also attracted an ever-growing number of malicious actors seeking to defraud businesses through phishing , social engineering , or ransomware attacks. The end result of these types of cyber attacks are often highly public and damaging data breaches.