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AI's Identity Crisis: Can IAM Handle 82x More Machines Than Humans?
Machine identities, especially AI agents, vastly outnumber human users, exposing critical security gaps in legacy Identity and Access Management (IAM) systems designed for human-centric authentication. As AI agents gain autonomy and the potential for misuse grows, enterprises are shifting focus towards identity-based security strategies to manage AI risk, but current IAM architectures struggle to keep pace with the scale and unique demands of machine identities, leading to potential security breaches.
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