Because they assume the network path is the best place to understand risk, while many high-value actions now happen before or inside the application session. Users, contractors, and agents can all behave legitimately at the edge and still create governance gaps later. Identity teams should treat network controls as one signal, not the governing source of truth.
Why This Matters for Security Teams
SASE and backhauling were built to improve traffic control, inspection, and policy enforcement, but identity governance has shifted toward sessions, tokens, APIs, and machine actors that often never follow a simple network-path story. That creates a blind spot: an account may look compliant at the edge while the real risk appears later through privilege escalation, excessive consent, token reuse, or agent-driven actions. The issue is not that network controls are useless; it is that they are not sufficient as the governing source of truth for access decisions.
This matters because modern environments reward speed and distributed execution. Contractors connect from unmanaged devices, SaaS applications maintain persistent sessions, and non-human identities can authenticate and act continuously without a human browsing pattern. As a result, governance teams need to know who or what is acting, what it is allowed to do, and whether that permission still matches the current context. The NIST Cybersecurity Framework 2.0 reinforces the need to align identity, control, and monitoring rather than depending on a single enforcement plane. In practice, many security teams encounter governance failure only after a legitimate network connection has already been used to complete an unauthorized business action.
How It Works in Practice
The practical problem is that SASE and backhauling are optimized to inspect traffic and apply network-centric policy, while identity governance needs to assess entitlement, assurance, device state, session risk, and authorization scope. A user may pass network checks and still retain stale access in an application. An API key may traverse the network cleanly while violating least privilege. An AI agent may use approved connectivity but execute an action outside its intended workflow. Governance therefore needs an identity control plane that can evaluate access independently of location.
In mature environments, security teams typically combine network enforcement with identity signals from IAM, PAM, CIEM, device trust, and session monitoring. That often includes:
- Conditional access that evaluates identity, device posture, and risk before issuing or refreshing a session.
- Privileged session controls that constrain elevation, approval, and command visibility inside the application layer.
- Continuous entitlement review so standing access is reduced and dormant permissions are removed.
- Telemetry correlation between SASE logs, application logs, and identity events to expose misuse that looks normal on the wire.
- Specific controls for tokens, service accounts, and agent identities, since they frequently bypass human-centric governance workflows.
The most effective pattern is to treat the network as one enforcement point and identity as the decision layer. That approach aligns well with control expectations in NIST SP 800-53 Rev 5 Security and Privacy Controls, especially where access control, auditability, and least privilege must be demonstrated across systems. These controls tend to break down in highly federated SaaS estates where session state, app authorization, and token lifetime are managed separately from network policy.
Common Variations and Edge Cases
Tighter network control often increases operational overhead, requiring organisations to balance inspection depth against user experience and application compatibility. That tradeoff becomes sharper when remote work, multi-cloud routing, and encrypted traffic reduce what the network layer can actually see. In those cases, backhauling may improve visibility for some workloads while adding latency and creating a false sense of governance completeness.
There is no universal standard for this yet, but current guidance suggests the strongest models are hybrid: use SASE for transport and threat reduction, then enforce identity governance at the application, session, and entitlement layers. This is especially important for service accounts, third-party integrations, and autonomous agents, where network path tells little about whether action scope remains acceptable. For identity-heavy environments, NIST SP 800-53 Rev 5 Security and Privacy Controls supports separating detection, authorization, and audit responsibilities instead of collapsing them into a single perimeter model.
Where this guidance is weakest is in legacy architectures that depend on static IP allowlists, flat trust zones, or inline inspection for almost every transaction, because those environments make identity telemetry incomplete and slow to operationalize.
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 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA | Identity governance needs continuous access assurance beyond network path control. |
| NIST SP 800-53 Rev 5 | AC-2 | Account lifecycle control is central when network tools miss stale or excessive access. |
Map identity decisions to PR.AA and verify access remains appropriate after connection is established.
