Ways to Manage AI Entities and Non-Human Identities
Many enterprises today grapple with the challenge of managing non-human identities, such as service accounts and AI agents, which operate in the background without clear ownership or oversight. These identities are proliferating rapidly, often outnumbering human users by more than 80 to 1. Traditional identity management tools struggle to address the unique characteristics of non-human identities, as they lack intent, context, and ownership. They do not log in or out, nor do they undergo offboarding processes. This creates significant blind spots in security, especially as autonomous agents begin to make decisions independently, often with broad permissions and minimal oversight. The evolving landscape of non-human identity risk necessitates a proactive approach to identity security, ensuring that organisations can manage these identities effectively before the scale of the problem becomes unmanageable.
The rise of AI agents introduces additional complexities and risks. Unlike traditional machine identities, AI agents autonomously initiate actions, interact with APIs, and make decisions without human intervention. This autonomy can lead to significant security vulnerabilities, as AI agents often require access to sensitive data and APIs, yet many organisations lack the necessary guardrails to control their actions or revoke access when needed. Furthermore, AI agents typically do not have clear ownership or a standard lifecycle, making it challenging to monitor their behaviour. Once deployed, they can operate indefinitely with persistent credentials and elevated permissions, complicating traditional monitoring methods that rely on user-specific signals like IP addresses or device context. As the landscape of non-human identities continues to evolve, organisations must prioritise robust identity security measures to mitigate these emerging risks.
