An agent-focused access management launch reflects a growing reality: AI agents require controls designed around autonomous behavior. Unlike a conventional application, an agent may interpret goals, select tools and execute actions. Its access should therefore be governed as a non-human identity, not hidden behind a person or generic service account.
Risk emerges when delegation is opaque. If an agent uses a user token, downstream systems may record the human as the actor even when the person did not act. Broad permissions also allow an agent to move beyond its intended task if prompts, tools or connected data are manipulated.
Establishing accountable machine identities
Agentic access management should establish a separate identity for each agent or workload, bind it to an accountable owner and issue short-lived, narrowly scoped credentials. Access should be granted according to the action attempted, not merely the application involved.
Applying context-aware least privilege
A useful model combines identity, intent and runtime context. Policies can consider declared purpose, workflow, requested tool, target data, current risk and whether human approval is required for entitlement changes, external communications or new machine identities.
Monitoring identity behavior
Visibility continues after authentication. Security teams need an event trail for delegation, tool use, data access and policy decisions. That evidence distinguishes normal automation from anomalous behavior and makes Agentic Identity a distinct NHI security discipline.
Source: PR Newswire