They fail because the process depends on multiple teams working in sequence without a common view of completion. HR may create the joiner event, IT may queue the requests, and app owners may approve later, but no single team can prove access is ready. The result is delay, confusion, and hidden control gaps.
Why This Matters for Security Teams
Onboarding failures are rarely caused by a single missed ticket. They emerge when HR, IAM, IT service management, and application owners each handle one step, but no one owns end-to-end proof that access is ready, correct, and time-bound. That gap matters because joiner workflows are a privileged moment: delays push employees toward workarounds, while premature access creates hidden exposure. NIST frames this as a lifecycle control problem, not just a provisioning task, in the NIST Cybersecurity Framework 2.0.
For security teams, the risk is compounded by fragmented secrets and approvals. NHIMG research in The State of Secrets in AppSec shows organisations maintain an average of 6 distinct secrets manager instances, a pattern that mirrors the fragmentation seen in onboarding. When identity, secrets, and application access are administered in different systems, each team can believe the process is complete while the actual control state remains inconsistent. In practice, many security teams encounter joiner access drift only after a new hire already has unnecessary access or cannot work on day one, rather than through intentional lifecycle validation.
How It Works in Practice
Carefully planned onboarding works best when it is treated as a coordinated state transition, not a chain of separate handoffs. The practical goal is to make every joiner event visible to one control plane, so HR data, identity creation, app entitlement approval, device enrollment, and secrets issuance are all tied to the same record. Best practice is evolving toward workflow orchestration with explicit completion criteria, rather than relying on informal “done” signals from each team.
A strong design usually includes:
- A single source of truth for the joiner record, so HR, IAM, and app owners act on the same event.
- Predefined entitlement templates mapped to role, location, and manager, with exceptions routed separately.
- Automated checks that confirm account creation, group membership, MFA, device posture, and application access before the employee starts.
- Time-bound access for high-risk systems, with review or revocation dates attached at issuance.
- Audit evidence that proves not just that requests were submitted, but that access was actually effective.
This approach aligns well with Zero Trust thinking and NIST lifecycle guidance, because access is continuously verified rather than assumed after a ticket is closed. It also reduces the chance that secrets are issued manually or left exposed in fragmented stores, a problem highlighted in NHIMG research on secrets management. Where onboarding includes developer, infrastructure, or agentic tooling access, the process should also require short-lived credentials and workload identity rather than long-lived shared secrets. These controls tend to break down when application owners approve access outside the workflow, because the system can no longer prove completion end to end.
Common Variations and Edge Cases
Tighter onboarding controls often increase coordination overhead, requiring organisations to balance speed against assurance. That tradeoff becomes most visible in mergers, contractor-heavy environments, and global organisations where local HR processes do not cleanly map to central IAM standards.
There is no universal standard for every edge case, but current guidance suggests handling them explicitly rather than letting them slip into the normal joiner path. For example, contractors may need access before payroll records are fully established, and acquisitions may require temporary parallel identities while directories are merged. Those exceptions should be time-boxed and separately approved so they do not become permanent workarounds.
Onboarding can also fail when the role definition itself is unstable. If managers assign access by habit instead of actual job function, the joiner workflow becomes a proxy for ad hoc privilege grants. That is especially risky for environments with shared service accounts, manual secrets distribution, or multiple identity systems. In those cases, the process breaks down because there is no authoritative boundary between identity creation, entitlement approval, and operational readiness, so “completed” in one system does not mean “usable and safe” across the environment.
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 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 |
|---|---|---|
| NIST CSF 2.0 | PR.AC-1 | Joiner workflows depend on controlled access assignment and verification. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Onboarding often fails when secrets are issued manually or left unrotated. |
| NIST AI RMF | Agentic or automated onboarding needs governed lifecycle accountability. |
Apply AI RMF GOVERN to assign ownership, approval logic, and evidence for automated onboarding decisions.
Related resources from NHI Mgmt Group
- Why do non-human identities create compliance risk even when policies exist?
- Why do lifecycle automation programmes still fail even when the workflows are built correctly?
- How should regulated businesses use eIDAS-certified identity verification in onboarding?
- How should iGaming operators balance fast onboarding with KYC compliance?