The rapid growth of non-human identities is creating an uncomfortable imbalance: machines already outnumber people in many enterprise environments, while security processes remain centered on human users. The arrival of AI agents increases that imbalance because each agent can create or exercise access across multiple services at machine speed.
A machine identity is not inherently dangerous. The risk comes from unmanaged relationships between identities, credentials and permissions. A workload may use a service account, that account may access an API, and the API may trigger another automated process. When those relationships are poorly documented, a compromise can move through the environment without a clear owner noticing.
Scale changes the risk calculation
Human access reviews can be scheduled around a manageable number of employees and contractors. Machine identities may be created and modified continuously by infrastructure code and deployment pipelines. A quarterly review cannot reliably capture a credential that was issued yesterday, used briefly and then abandoned.
AI agents add delegated authority
Agents introduce a further complication: they often act under delegated authority rather than a single permanent account. The agent’s effective permissions may depend on the user, task, tool and data context. Security teams need to preserve that chain so an action can be traced to both the initiating human and the machine identity that executed it.
Visibility is the foundation
Organizations should combine identity inventories with live telemetry from cloud platforms, secrets managers, code repositories and application logs. That combined view can expose orphaned credentials, excessive permissions, unusual access paths and agents operating beyond their defined purpose. It also supports practical remediation, including rotation, revocation and policy tightening.
The central lesson for CISOs is that machine identity is now an enterprise operating layer. NHI security must move beyond counting accounts and focus on ownership, purpose, behavior and relationships. Without that shift, AI adoption will increase the number of invisible actors faster than governance teams can control them.