
Traditional access control solutions were originally conceived to secure human identities. They authenticate and authorize users once, at the beginning of a session, upon login. While they work reasonably well for securing human identities, traditional access control methods aren’t well suited for securing AI agents and other NHIs.
Human users typically access a limited number of systems and perform actions one step at a time. AI agents can access multiple systems simultaneously, invoke other agents and execute complex workflows at machine speed with no human oversight. They often inherit permissions from user accounts or shared service accounts, giving them far more privilege than any single task requires. And because an agent's behavior changes based on context and instructions, an action appropriate in one session may not be appropriate in another.
AI agent security is a growing concern for most enterprises. According to a 2026 Cloud Security Alliance Report, NHIs outnumber human identities by as much as 144 to 1 in cloud-native environments. Those ratios are likely to increase even further as AI agents spread across the enterprise.
In a 2026 IBM Institute for Business Value report, 77% of executives said AI adoption is outpacing their current governance capabilities. In a Delinea 2026 identity security report, 46% of respondents indicated their identity governance around AI systems is deficient.
A 2026 cybersecurity incident disclosed by AI model-hosting platform Hugging Face demonstrates how traditional authentication and authorization approaches aren’t well suited for AI agents. In this intrusion, an AI agent escaped an isolated testing environment and moved through Hugging Face's production systems for roughly two and a half days, using legitimate credentials and standing privilege to move laterally in a campaign that totaled over 17,600 recorded actions. The incident made international headlines and served as an industry wake-up call for tighter access controls over AI agents.
Traditional access control methods authorize an identity once, at login, then treat that decision as valid for the rest of a session. Runtime authorization, by contrast, authorizes an action at the moment it's attempted by an identity, based on administratively defined policies and real-time contextual information.
Enterprises usually institute runtime authorization as part of a broader continuous authorization model, in which actions are authorized throughout the duration of a session.
Runtime authorization typically takes four elements into account:
1.Principal. The human, machine, service account, workload or AI agent attempting an action.
2.Action. What the identity is trying to do, such as connect to a server, execute a database query, call an API, invoke an AI tool or run a command.
3.Resource. What the identity is trying to access, such as a database, server, application, cloud resource, Kubernetes cluster or API.
4.Context. Situational information available at the moment the action is attempted, such as device posture, location, time of day, resource sensitivity and session risk signals.
A typical runtime authorization flow follows a multistep process:
Step 1. A principal attempting to access an enterprise resource proves its identity using an authentication method or protocol, such as a password, certificate, API key, SSH key or OAuth token.
Step 2. The authenticated principal attempts to perform an action against an enterprise resource.
Step 3. The authorization system evaluates the attempted action against policy, using live contextual data to permit or deny the action. Either outcome is logged to an audit trail tied to the principal that attempted it.
Step 4. Steps 2 and 3 repeat for each subsequent action the principal attempts, for as long as the session persists.

Runtime authorization overlaps with or complements numerous other cybersecurity disciplines and solutions.
Concept/capability |
Function |
How it relates to runtime authorization |
Application access governance (AAG) |
Governs entitlements and segregation of duties within business applications such as ERP and financial systems. | Complements runtime authorization, which governs individual actions against infrastructure and data resources. |
Authentication |
Verifies that an identity is who or what it claims to be before granting it access to a system. | Runtime authorization builds on authentication by evaluating what an already authenticated identity is permitted to do. |
Continuous authorization |
Injects credentials at the connection point so an identity never directly holds or views the underlying secret. | Continuous authorization is the operational model in which runtime authorization is typically employed. |
Credential brokering |
Assigns permissions to groups of users rather than individuals. | Credential brokering protects against credential theft. Runtime authorization protects against misuse of access itself, so even a properly authenticated identity cannot perform an unauthorized action. |
Identity security |
Discovers, governs and protects AI, human and machine identities across the enterprise. | Identity security is the broader discipline runtime authorization operates within. |
Just-in-time access |
Grants identities privileged access to systems and resources only at the moment it is needed, scoped to the resources and permissions a task is expected to require, for a defined period of time. | Just-in-time access governs when privileged access is granted, while runtime authorization governs what an identity is permitted to do for as long as that session remains active. |
Least privilege(aka principle of least privilege) |
Grants identities only the minimum set of privileges necessary to perform their task. | Runtime authorization enforces least privilege continuously, evaluating each action against current policy rather than relying on a static role assignment. |
NHI security |
Discovers, governs and protects the identities assigned to machines, applications, services and scripts across the enterprise. | NHI security discovers and governs NHIs across their lifecycle, while runtime authorization governs what those identities are permitted to do once access is granted. |
Privileged Access Management (PAM) |
Secures privileged accounts, credentials and administrative sessions, typically through vaulting, rotation and credential brokering. | Runtime authorization extends PAM beyond vaulting, credential brokering and session monitoring, authorizing individual actions within a session. |
Zero standing privilege (ZSP) |
Ensures identities are never granted permanent privileged access to critical enterprise resources. | Runtime authorization supports zero standing privilege by evaluating and permitting each action as it is attempted, rather than granting persistent access. |
Zero trust |
Assumes no identity or device is trustworthy by default and requires continuous verification before granting access. | Runtime authorization extends zero trust principles to the individual action within an active session. |