Security teams should start with discovery, then assign access based on identity type, task, and risk. Centralize policy, vault credentials, and require MFA where appropriate. Add session recording, just-in-time access, and governance controls so access is visible and time bound. The goal is to reduce standing privilege without slowing operational work or development speed.
Why This Matters for Security Teams
Centralized authorization is the difference between a policy program and a collection of exceptions. When IT admins, workforce users, machines, and developers are governed through separate control planes, security teams lose consistency in approval logic, revocation timing, and audit evidence. The result is not just more risk, but slower incident response and more brittle operations. NIST SP 800-53 Rev. 5 emphasizes access control, account management, and auditability as foundational controls, but those controls only work when identity context is normalized across populations.
The challenge is especially sharp where secrets and privileged sessions are still handled by local teams or ad hoc tooling. NHIMG research on The State of Secrets in AppSec shows a persistent gap between confidence and reality, while the State of Non-Human Identity Security reports low confidence in securing non-human identities and weak visibility into third-party access. In practice, many security teams discover fragmentation only after a leaked secret, over-privileged account, or orphaned access path has already been exploited.
How It Works in Practice
Centralized authorization works best when policy is separated from enforcement and applied consistently across identity types. The security team defines a common decision model that evaluates who or what is requesting access, what task is being attempted, what system is targeted, and what risk signals are present. That model can then feed PAM, IAM, CIEM, secrets platforms, and workload access brokers without forcing every team to invent its own approval rules.
For human users, that usually means role and attribute data are combined with session context, MFA, device posture, and time of request. For machines and developer tooling, the same authorization service should evaluate workload identity, token scope, environment, and intended action before issuing access. This is where standards such as NIST SP 800-53 Rev. 5 Security and Privacy Controls help translate policy into control objectives, especially for least privilege, separation of duties, and logging.
- Use one policy engine and one review workflow for all identity classes.
- Issue short-lived credentials instead of standing secrets wherever possible.
- Require step-up approval for high-risk actions, not for every routine task.
- Log the authorization decision, not just the login, so auditors can see why access was granted.
- Revoke access automatically when the task ends, the workflow closes, or the risk score changes.
For machine and developer identities, centralized authorization should align with workload identity rather than copied human RBAC patterns. The most secure patterns pair just-in-time privilege with strong session controls, which is why NHIMG case studies such as JetBrains GitHub plugin token exposure and Hard-Coded Secrets in VSCode Extensions show how quickly local secrets and developer tooling can become enterprise-wide exposure paths. These controls tend to break down when identities are managed in separate silos because revocation, attestation, and logging cannot be enforced through one consistent authorization layer.
Common Variations and Edge Cases
Tighter centralized control often increases integration overhead, requiring organisations to balance governance consistency against operational autonomy. That tradeoff matters because IT admins, developers, and machine identities do not all need the same approval path, even if they should all be governed by the same policy framework. Current guidance suggests standardizing the policy engine while allowing different enforcement profiles for break-glass access, CI/CD pipelines, service accounts, and privileged interactive sessions.
There is no universal standard for every environment yet, especially for hybrid estates where legacy PAM, cloud IAM, and workload identity tooling overlap. In those cases, start by centralizing the most dangerous decisions: privileged access, secret issuance, token lifecycle, and third-party service connections. Then add governance around exceptions so temporary access does not become permanent drift. NHIMG’s reporting on third-party OAuth visibility gaps illustrates why external integrations need the same authorization discipline as internal users.
The hardest edge case is the machine identity that behaves like a human account because it has broad standing access and no reliable owner. Best practice is evolving toward workload identity, ephemeral tokens, and runtime policy checks, but older environments often cannot support that immediately. In those environments, centralized authorization should at minimum force ownership, expiry, and logging on every privileged machine credential so that access is visible before it is abused.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10, OWASP Agentic AI Top 10 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Centralized auth depends on short-lived, rotated non-human credentials. |
| OWASP Agentic AI Top 10 | A-04 | Agentic workloads need runtime authorization, not static role grants. |
| CSA MAESTRO | IAM-2 | MAESTRO addresses identity governance across autonomous and machine actors. |
| NIST CSF 2.0 | PR.AA-01 | Identity proofing and access management underpin centralized authorization. |
| NIST AI RMF | GOVERN | AI governance requires accountable authorization for autonomous systems and tools. |
Replace standing machine secrets with expiring credentials and enforce rotation plus revocation through one control plane.
Related resources from NHI Mgmt Group
- How should security teams implement centralized IAM across human and machine identities?
- How should security teams implement zero trust IAM across human and machine identities?
- How should security teams prioritize authorization risks across cloud, SaaS, and on-prem environments?
- How should security teams implement SBOM governance across fast-moving application environments?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org