AI-Driven Malware Surge: 10,000 Variants Evading Detection

Cybersecurity researchers have uncovered a troubling use of generative AI: crafting 10,000 unique variants of malicious JavaScript code that evade detection in 88% of cases. By employing techniques such as variable renaming, junk code insertion, and string splitting, these AI-generated malware samples are able to bypass machine learning-based defenses. This discovery underscores the dual-edged potential of AI, highlighting its capacity to empower both cybersecurity experts and attackers in their ongoing battle.

Read more about this development on The Hacker News here.