Network controls do not describe what a user or service account is actually allowed to do once access exists. In cloud environments, the real risk is post-entry movement and resource abuse, which must be governed by identity policy. That is why perimeter security can support but cannot replace IAM and NHI controls.
Why This Matters for Security Teams
Network controls still matter, but they answer the wrong question for cloud identity governance. Firewalls, security groups, and segmentation can limit where traffic flows; they cannot determine whether a service account, API key, or workload identity should read a bucket, mint a token, or change infrastructure. That gap is why identity has become the primary control plane for cloud risk, as reflected in the NIST Cybersecurity Framework 2.0 and NIST SP 800-207 Zero Trust Architecture.
NHI Management Group research shows why this matters operationally: 97% of NHIs carry excessive privileges, and only 5.7% of organisations have full visibility into their service accounts. That combination means a network boundary may be intact while the identity layer is already over-permissioned, stale, or exposed through a leaked secret. The practical issue is not just ingress and egress. It is what happens after a trusted identity is already inside the cloud control plane.
In practice, many security teams discover abuse only after an over-privileged identity has already been used to move laterally or automate changes at scale.
How It Works in Practice
Cloud identity governance has to evaluate the request, the caller, and the context at the moment access is attempted. A network rule can say traffic from one subnet is allowed, but it cannot tell whether that request is a routine metadata lookup or an attempt to enumerate all storage accounts. Identity policy is what closes that gap by binding permissions to the actual actor and the action being requested.
For most environments, the operational pattern is straightforward:
- Use workload identity as the primitive, not shared static credentials.
- Scope permissions to the minimum action, resource, and environment required.
- Issue short-lived secrets or tokens, then revoke them automatically when the task ends.
- Evaluate access at runtime with policy-as-code instead of relying only on pre-defined network placement.
- Log identity decisions so cloud teams can detect privilege drift and unexpected use.
This approach is consistent with the guidance in the Ultimate Guide to NHIs and the risk framing in Top 10 NHI Issues. It also aligns with the Zero Trust principle that trust should be continuously evaluated, not assumed because a packet came from an approved network zone. In practice, the identity layer is where JIT access, secrets rotation, and offboarding are enforced; the network only constrains one part of the attack path.
These controls tend to break down in multi-account cloud estates with legacy service accounts, shared automation roles, and unmanaged secrets because identity sprawl makes it hard to know which principal is actually acting.
Common Variations and Edge Cases
Tighter identity controls often increase operational overhead, requiring organisations to balance stronger least-privilege enforcement against deployment speed and platform complexity. That tradeoff becomes more visible in CI/CD pipelines, ephemeral container workloads, and cross-account automations where teams want speed but still need traceable authority.
There is no universal standard for every cloud pattern yet, but current guidance suggests treating network controls as a compensating control rather than the primary governance layer. For example, private subnets may reduce exposure, but they do not prevent an identity with excessive permissions from deleting data, exfiltrating secrets, or creating new access paths from within the trusted zone. Likewise, if a workload uses federated identity, the real control point is the token issuance and policy decision, not the source IP alone.
Security teams should be especially cautious where machine identities are long-lived, where secrets are embedded in code, or where third-party integrations inherit broad access. Those environments can appear segmented while remaining highly exposed at the identity layer. The lesson from 52 NHI Breaches Analysis is that post-entry abuse usually follows privilege, not packet flow.
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-01 | Addresses excessive machine identity privilege, the core gap beyond network controls. |
| NIST CSF 2.0 | PR.AC-4 | Access enforcement must follow identity policy, not just network placement. |
| NIST Zero Trust (SP 800-207) | Zero Trust requires continuous verification instead of implicit network trust. |
Treat network location as insufficient and evaluate every cloud request by identity and context.
Related resources from NHI Mgmt Group
- Why does AI governance fail when identity controls sit outside the governance model?
- When does managed DNS become part of identity governance rather than network operations?
- Who is accountable when privileged access controls fail in cloud environments?
- Which frameworks support continuous cloud identity governance?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
