AI agents are moving from experiments to production, and with that shift comes a new security challenge. Unlike traditional users or service accounts, agents can browse the web, write code, access files, trigger APIs, and interact with internal systems. That makes them a new class of enterprise identity—one that is active, not passive, and therefore harder to govern. Companies need to know which agent accessed what, which systems it connected to, and whether its actions were authorized.
The source argues that this market will not consolidate under a broad "AI security" label. Instead, value will sit in specific control points: one vendor may protect agent identity, another may govern data access, and others may focus on prompts, MCP servers, plugins, traffic, or auditability. Early evidence includes Kiteworks acquiring Bonfy.AI for real-time data classification and policy enforcement, and Huskeys raising a $27 million Series A led by Blackstone to secure complex internet traffic, including traffic from autonomous systems.
These control points are already forming an M&A map. Identity providers may extend governance to agents, data-security vendors may control what agents can access, and larger platforms—cybersecurity, cloud, and enterprise software—may eventually embed agent-security capabilities directly. For entrepreneurs, the takeaway is that "AI security" is too broad a positioning; the more useful question is exactly what a company controls. The source presents this as an emerging trend rather than a settled market, with no competing views offered.