Recent research highlights the security vulnerabilities associated with 'LLM routers,' services that operate between users and AI models, which can intercept sensitive data. These routers have been linked to serious incidents of credential theft, including a notable case where a crypto wallet was drained of $500,000. As AI agents are anticipated to facilitate $3 trillion to $5 trillion in global commerce by 2030, the researchers warn that the largely unregulated router infrastructure could expose users to significant risks. The study, conducted by experts from the University of California, Santa Barbara, and other institutions, reveals that these routers can inject malicious commands and collect sensitive information such as private keys and API credentials. This creates a cascading risk, where even trusted AI providers may not guarantee the integrity of the data, leaving users vulnerable to exploitation.