The proliferation of AI agents at companies introduces a new level of risk and vastly magnifies insider threats, making control of agent interactions the number one security challenge. Unlike human insider threats, which unfold over days or weeks with detectable patterns, an agent can execute thousands of autonomous actions in the time it takes a security team to notice, representing a different category of risk. The Hugging Face incident demonstrated that an AI agent can navigate around barriers, making it a matter of when, not if, guardrails are needed. The industry is focusing on variables that muddy the waters instead of the path forward. This risk cannot be left only for model providers to solve, as cybersecurity is a specialized discipline requiring security architecture built for visibility, governance, and real-time control. The team that builds a product is rarely best positioned to secure it. Framing this as open-source versus closed or a US vs. China race misses the mark, as national borders do not confine AI challenges. Cybersecurity is the least of anyone’s worries, and defining borders and creating uncontrolled competition between countries isn’t helpful in solving frontier AI issues.