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The article addresses how agentic AI adoption necessitates evolving identity management systems to distinguish between human users and autonomous agents. This shift places verification logic at the core of transactional workflows rather than treating it as a secondary compliance step. Consequently, organizations must integrate advanced authentication signals directly into their operational infrastructure to manage risks posed by scaling AI actors.
AI changes the game for identity management

AI is enabling ever more sophisticated online frauds. According to industry leader Entrust, the response requires a lifecycle approach which puts identity management at the centre of customer transactions. When organizations are verifying the identities of who they are transacting with online, they are not only identifying humans but also AI agents. With the proliferation of agentic AI and its adoption at scale, and by consumers, agents are doing the…
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