They collapse the boundary between one device and many assets. If device IDs are predictable, reused, or easy to observe, an attacker may map identifiers to accounts and send commands as if they were authorized. That turns a single credential or identifier leak into broad unauthorized access, especially when the hub acts as the central gateway for the ecosystem.
Why This Matters for Security Teams
Poor device identity design turns a single connected endpoint into a trust multiplier. When device IDs are predictable, reused, or visible on the wire, attackers can correlate identifiers with accounts, infer authorization paths, and then issue commands that appear legitimate. That is especially dangerous in hub-and-spoke environments where one controller can reach many downstream assets. NIST guidance on identity and access control makes clear that authentication alone is not enough when authorization is overly broad or static, as reflected in NIST SP 800-53 Rev 5 Security and Privacy Controls.
NHIMG research shows how quickly NHI weakness becomes enterprise exposure: the Ultimate Guide to NHIs reports that 97% of NHIs carry excessive privileges and 80% of identity breaches involved compromised non-human identities such as service accounts and API keys. In connected environments, the same pattern appears with devices when identity is treated as a label instead of a cryptographic trust primitive. In practice, many security teams encounter lateral access and command abuse only after a hub credential, device token, or integration secret has already been reused across multiple assets.
How It Works in Practice
The core failure is mixing identification, authentication, and authorization into one weak model. A device may present a stable ID, but if that ID is guessable, reused across fleets, or linked to a long-lived token, the attacker does not need to “be” the device in any meaningful sense. They only need to observe or steal enough identity material to replay trust. This is why current guidance increasingly favors short-lived credentials, workload identity, and request-time policy checks rather than static allowlists.
In a well-designed model, the device proves what it is with a cryptographic workload identity, while the platform decides what it may do at that moment. That means:
- unique device identity per unit or workload, not shared fleet credentials;
- ephemeral certificates or tokens with tight TTLs and automatic revocation;
- context-aware authorization that evaluates request type, destination, and risk;
- segmentation so a hub cannot silently become a universal control plane;
- logging that links each command to an identity, policy decision, and asset.
This approach aligns with the direction of least privilege in NIST Cybersecurity Framework 2.0 and with the ecosystem emphasis in the 2024 ESG Report: Managing Non-Human Identities, which found that two-thirds of enterprises have endured a successful cyberattack resulting from compromised NHIs. The operational lesson is simple: a device identity must be resistant to observation, hard to reuse, and narrow enough that a stolen credential cannot become a master key. These controls tend to break down in legacy IoT estates where shared secrets, static MQTT credentials, and flat network access are baked into the original deployment model.
Common Variations and Edge Cases
Tighter device authentication often increases enrollment, certificate, and lifecycle overhead, so organisations must balance stronger trust with operational simplicity. That tradeoff matters because not every connected environment can support full per-device attestation on day one.
Best practice is evolving, but several patterns recur. Legacy industrial systems often cannot rotate credentials quickly, so compensating controls such as network isolation and gateway brokering become essential. Consumer IoT devices may ship with limited compute, making heavy certificate logic impractical unless the platform offloads trust decisions. Shared hubs and edge gateways create another exception: if the hub identity is overtrusted, every connected endpoint inherits that risk even when the endpoints themselves are well-managed. In those cases, security teams should treat the hub as a high-value workload identity with separate policy, not as a convenient proxy for all downstream devices.
For practitioners comparing maturity levels, the Top 10 NHI Issues is a useful reminder that excessive privilege, poor rotation, and weak visibility usually cluster together. The practical boundary is clear: static device trust may be tolerable for low-risk telemetry, but it becomes unacceptable when the same identity can issue commands, unlock resources, or traverse multiple trust zones. There is no universal standard for this yet, but the direction of travel is toward ephemeral identity, policy-as-code, and strict scoping of every device-to-asset relationship.
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, NIST SP 800-63, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Static or reused device identities create the same rotation and exposure risk as other NHIs. |
| NIST CSF 2.0 | PR.AC-4 | Device authorization should be limited by least privilege and verified at access time. |
| NIST SP 800-63 | Device identity strength depends on robust proofing, binding, and authentication assurance. | |
| NIST Zero Trust (SP 800-207) | Zero Trust requires every device request to be evaluated, not trusted by network location. | |
| NIST AI RMF | GOVERN | Connected devices and autonomous services need accountable governance for access decisions. |
Use short-lived device credentials and rotate any shared secrets before they become reusable attack paths.
Related resources from NHI Mgmt Group
- Why do compromised IDE extensions create such broad identity and secrets risk in cloud-native environments?
- Why do install-time payloads in CI/CD environments create outsized risk for cloud and identity security?
- Why do passwords still create so much identity risk in modern environments?
- Why do employee departures create so much identity risk in SaaS environments?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org