Identity teams need to supply the effective permission model, while data security teams need to identify which files and datasets are truly sensitive. The shared accountability point is the overlap between the two. When both teams work from the same exposure view, they can explain access, prioritise remediation, and defend decisions during audit or incident response.
Why This Matters for Security Teams
Shared accountability sounds simple until a real exposure crosses team boundaries. Identity teams usually own the effective permission model, while data security teams classify the files, shares, and datasets that matter most. The gap appears when those views do not line up: access looks acceptable in IAM, but the same entitlement reaches a sensitive repository. That is why NHI governance has become central to exposure management, not just access administration.
This pattern is familiar in NHI incidents because over-privilege and missing visibility are common. NHI Mgmt Group’s Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges, and the same guide shows only 5.7% of organisations have full visibility into their service accounts. When teams cannot connect identity to data sensitivity, remediation becomes slow, and audit evidence becomes defensive instead of operational. Guidance from 52 NHI Breaches Analysis reinforces the point: exposure problems usually become visible after misuse or incident response, not through proactive ownership. In practice, many security teams encounter the overlap only after a share, bucket, or dataset has already been overexposed.
How It Works in Practice
The practical model is a joint exposure workflow. Identity teams supply the identity graph, including service accounts, API keys, workload identities, group membership, and effective permissions inherited through PAM, RBAC, or nested roles. Data security teams supply the sensitivity map: which files, objects, or datasets are regulated, confidential, or business-critical. Shared accountability sits in the intersection, where access paths are evaluated against data importance.
A workable process usually includes:
- Normalising identities so human and non-human access can be reviewed in one view.
- Tagging sensitive data consistently, then mapping that classification to entitlement paths.
- Flagging high-risk combinations such as broad read access to finance, source code, customer records, or backups.
- Using JIT access or approval workflows for exceptions instead of leaving standing access in place.
- Recording who owns the permission change, who owns the data label, and who signs off on residual risk.
This is where identity evidence and data context reinforce each other. The Ultimate Guide to NHIs — Key Research and Survey Results provides the visibility baseline, while the Anthropic — first AI-orchestrated cyber espionage campaign report is a reminder that rapidly chained access can amplify small entitlement errors into broader compromise. For implementation detail, teams often align this workflow with policy checks at request time rather than relying only on quarterly reviews. These controls tend to break down when data labels are inconsistent across storage platforms because identity owners cannot prove what the access actually reached.
Common Variations and Edge Cases
Tighter exposure governance often increases review overhead, so organisations have to balance faster remediation against the cost of maintaining accurate classification and entitlement data. That tradeoff matters most in hybrid estates, where on-prem file servers, legacy apps, and AD groups still carry long-lived permissions that no one wants to break.
There is no universal standard for this yet, but current guidance suggests a few practical exceptions. Some datasets are too dynamic for manual sensitivity tagging, so teams may rely on pattern-based rules, folder-level inheritance, or business-owner attestations. In other cases, identity teams can only provide group-level entitlements, not true effective permissions, which means data security must treat the result as an approximation until the permission chain is resolved.
The hardest edge cases appear when third-party service accounts, backup accounts, or application identities have indirect paths to sensitive storage. In those environments, shared accountability should include a named owner for the identity, a named owner for the data, and a documented escalation path for exceptions. The best practice is evolving, but the operating principle is stable: if neither team can explain the overlap, the exposure is not under control.
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 Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Addresses excessive privileges and exposure from non-human identities. |
| NIST CSF 2.0 | PR.AC-4 | Covers access governance and effective permission review across teams. |
| NIST Zero Trust (SP 800-207) | AC-4 | Zero trust requires continuous verification of identity and resource access. |
Map identity-to-data access paths and verify only authorized users and workloads can reach sensitive assets.
Related resources from NHI Mgmt Group
- How should security teams improve cyber resilience when data visibility is incomplete?
- How should security teams decide between posture, exposure, and runtime controls?
- How should security teams use DSPM to improve data governance?
- How should security teams govern federated sign-in with external identity providers?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 7, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
