AI Agents Are Becoming Your New Privileged Workforce

The text discusses the challenges and importance of applying Identity Security Posture Management (ISPM) to AI agents as they rapidly evolve from simple tools to complex, interconnected systems. It highlights that while AI agents can enhance business operations, they also introduce identity risks such as overpermissioning and fragmented inventories due to their fast-paced evolution. The Model Context Protocol (MCP) is identified as a solution to integrate AI systems efficiently, though it also amplifies existing identity risks. The text emphasizes that AI agent security should not be treated as a new category but rather as an extension of ISPM principles to manage non-human identities effectively. Veza is mentioned as a tool that provides governance across AI models, infrastructure, and applications, helping ensure that AI systems remain trustworthy. The document further argues that securing AI agents is essential for scaling AI capabilities safely without compromising identity risk, compliance posture, and customer trust. It encourages organizations to extend ISPM-grade identity discipline to AI agents to prevent unmanaged expansion and suggests steps for implementing AI agent security effectively.