In a recent commentary, former FTC Chair Lina Khan advocated for aggressive regulatory enforcement against artificial intelligence executives, suggesting that legal consequences should be a viable deterrent for misconduct. Khan draws a historical parallel to the 1934 precedent established by the Securities Exchange Act, implying that current AI leadership should be held to similar standards of accountability regarding corporate responsibility and transparency. While the article focuses on the broader regulatory climate, it highlights a growing tension between rapid frontier AI development—exemplified by the release of models like Anthropic’s Opus 5.5 and OpenAI’s GPT-6 Sol and Luna—and the need for oversight. This call for accountability surfaces amidst a complex cybersecurity landscape, where new threats like the CLOSEDQUORUM malware utilize LLMs for autonomous post-compromise decision-making and command-and-control operations. As the industry moves toward more autonomous systems, Khan’s stance signals a potential shift toward using existing financial and corporate law frameworks to mitigate the risks posed by the rapid deployment of advanced generative models.