A research team mapped a year's worth of AI-enabled cyber threats detected in enterprise networks. The analysis identified 14,000 distinct attack patterns using machine learning models trained on real-time logs. Threat actors leveraged generative AI to craft phishing content and evade detection systems. The findings were published in a report by the MIT Cybersecurity Lab.
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China Uses Dual-Method Cyberattack on Czech Orgs
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