A new identity class has emerged in enterprise infrastructure, and traditional IAM platforms are not equipped to handle it. AI agents operating in production require a different model of identity governance than either human users or service accounts. This identity class—agentic identity—has distinct characteristics that demand runtime control rather than static policy assignment.
The fundamental difference is temporal granularity. A human user authenticates once per session and maintains that identity for hours. A service account holds a static credential that lives for months or years. An AI agent changes its permission requirements second-by-second based on execution context. Within a single request, an agent might need to read files as one identity, query a database as another, write logs as a third, and emit webhooks as a fourth. Forcing this into traditional IAM models creates an unmanageable explosion of roles and policies.
Runtime control means the identity system makes authorization decisions in real time, based on what the agent is actually trying to do right now, not what policies said it was allowed to do hours ago. This requires a fundamental architectural shift: moving from “grant permissions upfront” to “verify legitimacy continuously.” When an agent makes an API call, the identity system can check not just the credential, but the execution context—what code is running, what data is being processed, what prior actions have been taken in this request.
The technical implementation requires cryptographic binding between code and identity. The agent must prove not just that it has valid credentials, but that those credentials are being used by the authorized code. This prevents two common attack vectors: compromised credentials being used by unauthorized processes, and legitimate code being manipulated by prompt injection or jailbreak attacks to use credentials incorrectly.
Runtime control also enables adaptive trust. When an agent starts behaving anomalously—making unexpected API calls, accessing unusual data, or operating in a different geographic region—the identity system can immediately revoke permissions or require re-authentication. This is impossible with static policy-based IAM, where you either grant permission or deny it, with no in-flight adaptation.
For security operations, runtime control means visibility and responsiveness at the speed of AI execution. Rather than discovering a compromise hours or days later in audit logs, security teams can monitor agentic identity in real time and intervene immediately if something looks wrong. This is the only viable way to prevent agent-based attacks from cascading across your infrastructure.
Source: SC Media