The first ever global worm-based ransomware attack – WannaCry –crippled close to 150 countries in May 2017. Ransomware usually spreads via email, relying on human intervention to initiate infection.
In a matter of hours, WannaCry spread to Internet-connected computers infecting many that were unpatched and exposed to the Internet.
In particular, the ransomware exploited older Windows operating systems, including Windows XP. The attack was a stark reminder about keeping antivirus, firewall and operating systems up-to-date.
The IT security industry is exploiting machine learning to enhanced preparedness and threat response speeds.
Can Machine Learning help mitigate ransomware attacks?
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