They struggle because Intune does not yet match several Group Policy capabilities, including bare metal imaging, true OU-style inheritance, some preference settings, and certain dynamic targeting patterns. When teams depend on those functions, they keep both systems running side by side. That is usually a tooling gap, not resistance to change or a lack of willingness to modernise.
Why This Matters for Security Teams
Retiring Group Policy is rarely a simple migration task. In hybrid environments, the real issue is control parity: teams need to know whether every configuration they rely on in on-premises Windows can be expressed, enforced, audited, and recovered in the cloud management model. If not, policy drift appears quickly, especially where laptops, shared devices, and domain-joined servers still depend on legacy processing order and local administrative conventions.
This matters because configuration management is a security control, not just an endpoint administration choice. When policy logic is split across Group Policy and cloud management, accountability becomes harder to prove and troubleshooting becomes slower. That directly affects baseline hardening, privilege reduction, and incident response readiness. A useful way to frame the problem is through the NIST Cybersecurity Framework 2.0, which emphasises governance, protective controls, and continuous improvement rather than tool preference.
In practice, many security teams encounter Group Policy retirement only after a legacy setting has broken access, weakened hardening, or disrupted a rollout that depended on hidden inheritance behaviour.
How It Works in Practice
Most organisations end up running a coexistence model first. Group Policy continues to handle settings that are tightly bound to Active Directory, while Intune or another cloud management platform takes over newer device posture and application controls. The difficulty is not only feature coverage, but also how settings are applied. Group Policy has established processing precedence, linked scope, security filtering, and loopback behaviour. Cloud policy models usually rely on device groups, user groups, assignment filters, and compliance evaluation. Those are similar in intent, but not identical in execution.
A practical retirement plan usually starts with inventory. Security and endpoint teams should identify which policies are still authoritative, which are duplicated, and which are merely inherited by accident. Then they should classify settings into three buckets: replaceable, partially replaceable, and non-replaceable for the current estate. That helps avoid assuming that every configuration can be translated cleanly.
- Map each critical Group Policy Object to a business or security outcome, not just a technical setting.
- Test whether the same outcome can be achieved through MDM policy, scripts, security baselines, or native OS controls.
- Validate rollout behaviour on co-managed, Entra joined, and domain joined devices separately.
- Document exceptions where legacy dependency remains until the endpoint or operating model changes.
For teams formalising the protective baseline, guidance from the NIST SP 800-53 Rev. 5 can help translate policy intent into control outcomes, while the CIS Controls remain useful for prioritising endpoint hardening and centralised configuration management.
These controls tend to break down when an estate still contains domain-joined legacy applications, OU-specific exceptions, or imaging workflows that assume local policy processing at build time.
Common Variations and Edge Cases
Tighter configuration centralisation often increases operational overhead, requiring organisations to balance standardisation against the flexibility needed to support older platforms and specialised workloads. That tradeoff is especially visible during staged migrations, when one business unit has already moved to cloud-managed devices and another still depends on domain membership for software deployment or printer mapping.
There is no universal standard for how fast Group Policy should be retired. Current guidance suggests treating it as a control migration programme rather than a simple technology replacement. Some settings can move cleanly into Intune, some can be recreated through scripts or endpoint security baselines, and some may remain on-premises until the dependency is removed. In these cases, “dual control” is often a transitional state, not a failure.
The main edge case is when identity and device management are tightly coupled. If authentication paths, local admin rights, or device trust rules still depend on on-premises infrastructure, policy retirement can expose hidden dependencies in access control and recovery processes. Another common exception is regulated or segmented environments where the security team needs explicit evidence of parity before disabling the old control plane.
For organisations with broader cyber governance requirements, mapping the transition to a control framework such as NIST Cybersecurity Framework 2.0 helps keep the focus on resilience, observability, and control ownership rather than on replacing one console with another.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the technical controls, while EU Cyber Resilience Act and NIS2 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.IP-1 | Policy retirement hinges on managed configuration and baseline consistency across endpoints. |
| NIST Zero Trust (SP 800-207) | PL-2 | Hybrid policy sprawl affects trust decisions and control enforcement across managed devices. |
| NIST AI RMF | Not directly AI-focused, but useful where automation is used for policy translation and validation. | |
| EU Cyber Resilience Act | Endpoint and software configuration changes can affect secure-by-design obligations for digital products. | |
| NIS2 | Configuration drift and weak change control can undermine operational resilience expectations. |
Track every legacy setting, map it to a security outcome, and retire it only after equivalent enforcement exists.
Related resources from NHI Mgmt Group
- What do organisations get wrong about policy enforcement in hybrid environments?
- How can organisations secure third-party privileged access in hybrid environments?
- Why do traditional IGA programs struggle in hybrid environments?
- Should organisations prioritise DSPM before IAM cleanup in hybrid environments?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org