The security paradigm is shifting from managing user access to governing autonomous AI agents. These agents act as a new class of "digital employees," creating a massive new attack surface that scales beyond human capacity and requires a workforce management approach to security.
While "zero-standing privilege" (just-in-time access) is a key strategy for securing AI agents, its current reliance on human approval is a bottleneck. The volume and speed of agent requests will demand automated, real-time "runtime governance" systems to grant and revoke permissions dynamically.
Fragmented identity systems already delay responses to human threats by an average of 12 hours. The machine-speed complexity of AI agents will make this fragmentation untenable, forcing the market towards unified platforms that can manage both human and machine identities seamlessly.