Security researchers have published a proof-of-concept demonstrating AI-driven malware that dynamically rewrites its own code at runtime, systematically defeating both signature-based antivirus and behavioral detection engines used in modern endpoint security platforms. While no threat actor has weaponized this technique in confirmed attacks, the research establishes that the detection assumptions underlying most enterprise endpoint security investments are technically breakable at scale. This signals a structural shift in the evasion arms race: defenders can no longer rely on detection parity with known malware families when adversaries can automate the mutation of unknown ones.