How Rubrik Zero Labs Uses LLMs to Analyze Malware at Machine Speed

This episode discusses how large language models (LLMs) are changing malware analysis by enabling large-scale triage, intent-based analysis, and clustering of thousands of samples; it highlights adversary techniques like abusing Windows Subsystem for Linux (Chameleon) and APT-linked Linux RATs, warns about AI-generated dynamically delivered malware that can evade traditional defenses, and emphasizes the strengths and limits of LLMs including the need for human verification and resilience-focused security operations.