In Identity and Access Management (IAM), most organizations begin by defining a schema: name, employee ID, manager, department, title, and maybe a few computed fields like employmentDuration or contractRemainingDays or isManager or riskScore. This works for provisioning accounts and enforcing basic access policies.
But the reality is different: identity is not static. A user’s access, behavior, and risk profile evolve constantly. The schema you start with cannot anticipate everything that will matter later. That’s why identity metadata must be dynamic — enriched at runtime by AI Agents that detect, generate, and retire attributes as needed. This creates a living identity, sometimes called the digital DNA of the user.
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