Malware authors subvert AI detection systems

Malware authors are creating code that tricks AI-based security tools (LLM-assisted products, which use large language models to analyze threats) into stopping their analysis or refusing to work, according to security researchers at SentinelLabs. One example is macOS.Gaslight, believed to be linked to North Korean hackers, and this is part of a growing trend where malware is specifically designed to evade AI-powered defenses.