TL;DR: IoT expansion is widening the attack surface, with connected devices increasingly targeted through remote-execution flaws, ransomware, supply chain compromise, and shadow deployments, according to GlobalSign and Statista. The governance problem is no longer device count alone, but whether authentication, lifecycle control, and network trust boundaries can keep pace with unmanaged connected assets.
At a glance
What this is: GlobalSign argues that IoT security gaps are widening because device sprawl, weak authentication, shadow deployments and supply-chain exposure are outpacing current controls.
Why it matters: This matters because IoT devices often sit outside normal IAM and lifecycle oversight, turning unmanaged connected assets into persistent entry points for broader network compromise.
Context
IoT security is fundamentally a governance problem as much as a technical one. When connected devices are added faster than they are inventoried, authenticated and retired, organisations lose the ability to define a reliable trust boundary around the environment.
The article ties that control gap to identity-adjacent risk in several places, especially authentication, least privilege and lifecycle management. For IAM, PAM and NHI teams, the lesson is that device identity and access policy must be treated as operational controls, not after-the-fact cleanup.
The starting position described here is increasingly typical in modern enterprises: many connected devices are being deployed through cloud, remote work and BYOD-heavy environments faster than security teams can consistently govern them.
Key questions
Q: What fails when IoT devices are added faster than they can be governed?
A: What fails is the trust boundary. If devices are onboarded without consistent inventory, authentication and lifecycle ownership, security teams lose visibility into what is connected and which devices still deserve access. The result is unmanaged exposure, weaker segmentation and a larger pool of devices that attackers can use as footholds.
Q: Why do insecure IoT devices create broader enterprise risk?
A: Because once connected devices are inside a trusted environment, they can be used as entry points, persistence platforms, or sources of false data. Weak passwords, poor patching, and unclear ownership turn a single device into a systemic exposure. The risk is amplified when devices support operational systems, where disruption can affect revenue, safety, or service continuity.
Q: What are the signs that IoT remote access controls are not working well?
A: Warning signs include inconsistent access policies, weak visibility into who accessed devices, unexplained anomalies in access patterns, and difficulty revoking permissions quickly. If teams cannot audit access attempts or spot unusual behavior in real time, monitoring is too shallow. Another red flag is reliance on ad hoc controls across different device types and environments.
A: They are different controls that must work together. Lifecycle management determines whether the device should still exist in the environment, while segmentation limits what it can reach while it does. Without both, organisations either keep dead devices alive or allow active devices to move too freely across the network.
Technical breakdown
Why IoT expansion breaks traditional trust boundaries
IoT environments fail when each device is treated as a one-off endpoint instead of a governed identity-bearing asset. The article points to a mix of insecure devices, shadow deployments and rapid scale, which means trust decisions are often made at onboarding and then never revisited. That is where the control gap opens: authentication, segmentation and monitoring are not designed to cope with thousands or millions of devices whose ownership, software state and exposure change over time.
Practical implication: build device inventory, authentication and retirement into the same governance workflow instead of treating them as separate controls.
How remote-execution flaws and malware turn devices into footholds
Remote-execution vulnerabilities in IoT devices are especially dangerous because they convert a simple exposed service into a foothold for malware installation and later network abuse. The article cites Mirai-style abuse, where attackers exploit device flaws at scale and then repurpose compromised devices for control, disruption or further access. In practical terms, the issue is not only patching, but the fact that many IoT systems expose long-lived services with weak authentication and limited runtime oversight.
Practical implication: prioritise patching and service hardening for exposed IoT fleets before attackers can chain device compromise into wider access.
Why supply-chain and lifecycle control matter for connected devices
IoT supply-chain compromise is not limited to the device itself; it can happen during manufacture, distribution or update paths. That makes the trust model depend on provenance, update integrity and offboarding discipline. The article also notes that lifecycle management matters because devices eventually age out, yet many remain active with outdated software or unclear ownership. In identity terms, this is close to unmanaged non-human identity persistence: if a device continues to authenticate after its intended lifecycle, the trust relationship is already broken.
Practical implication: enforce device provenance checks, update integrity validation and formal decommissioning for every connected asset.
Threat narrative
Attacker objective: Attackers want durable access to a device fleet or network path that can be used for data theft, disruption or ransomware operations.
- Entry occurs when attackers exploit exposed IoT devices or a vulnerable supply-chain update path to gain an initial foothold.
- Credential or control abuse follows when the compromised device is used to install malware, redirect traffic or maintain access inside the environment.
- Escalation happens as the attacker uses that foothold to reach broader network resources, exfiltrate data or deploy ransomware into the IT estate.
- Impact is operational disruption, loss of sensitive information and, in some cases, large-scale compromise across fleets of connected devices.
NHI Mgmt Group analysis
IoT device identity is now a governance boundary, not a hardware detail: once connected devices can authenticate, be updated and remain online for years, they behave like unmanaged non-human identities. The article shows that the real failure is not the presence of IoT, but the absence of lifecycle ownership, authentication discipline and revocation. Practitioners should treat device identity as a first-class control surface.
Shadow IoT creates the same risk pattern as shadow access in IAM: if security teams do not know what is connected, they cannot govern who or what can trust it. The article’s discussion of BYOD, cloud adoption and remote work is a reminder that discovery is not a one-time exercise. Continuous inventory is the prerequisite for any meaningful access policy.
IoT supply-chain integrity should be evaluated like any other trust dependency: the path from manufacturing to update delivery is a control point, not just a logistics process. When compromised devices can enter the network already trusted, the organisation inherits a standing security debt. The practitioner conclusion is simple: provenance, attestation and offboarding need to be built into device governance from day one.
Zero trust for IoT fails when devices are allowed to accumulate unchecked exceptions: the model only works if every device is continuously authenticated, scoped and reassessed. The article’s emphasis on least privilege and continuous verification is directionally right, but the stronger lesson is that the trust boundary must move with the device lifecycle. Teams should enforce this as an operational policy, not a design aspiration.
What this signals
IoT governance is becoming an identity problem as much as a device problem: every connected asset needs a verifiable identity, scoped access and a defined end-of-life. Without that, the security programme inherits a growing population of unmanaged credentials, certificates and network permissions that cannot be reviewed effectively.
Shadow IoT is the operational signal that inventory has failed: when teams cannot account for connected devices, they cannot enforce authentication, patching or decommissioning with confidence. The practical consequence is that network trust becomes dependent on exceptions instead of policy, which is exactly where attackers gain room to move.
For practitioners
- Implement continuous IoT inventory and ownership mapping Track every connected device from onboarding to retirement, including owner, software state, network location and business purpose. Unknown devices should be treated as unmanaged trust exceptions until they are classified or removed.
- Enforce device authentication and access scoping Require strong authentication for IoT devices and limit each device to the smallest network and application scope needed for its function. Reassess access whenever firmware, ownership or use case changes.
- Prioritise patching of exposed IoT services Identify externally reachable services, remote-execution exposure and weak default configurations across the device fleet, then patch or isolate the highest-risk systems first.
- Validate supply-chain provenance and update integrity Check device provenance, signed update paths and change control for manufacturing and distribution stages so compromised hardware or firmware is not trusted by default.
- Retire and decommission devices on schedule Remove devices from the network when support ends or ownership is unclear, and ensure credentials, certificates and network permissions are revoked as part of offboarding.
Key takeaways
- IoT risk is rising because connected devices are being deployed faster than identity, authentication and lifecycle controls can govern them.
- The article links exposure to real attack paths, including remote-execution abuse, ransomware patterns, supply-chain compromise and shadow deployments.
- The control priority is to make device inventory, scoping, provenance and offboarding part of the security baseline for every connected asset.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
MITRE ATT&CK and OWASP Non-Human Identity Top 10 address the attack and risk surface, while CIS Controls v8, 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 |
|---|---|---|
| CIS Controls v8 | CIS-5 — Account Management | IoT devices need ownership, lifecycle and access discipline that maps to account governance. |
| Recommendation — Apply CIS-5 to inventory IoT assets, remove stale access and enforce accountable ownership. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article centres on scoping device access and limiting trust to authorised assets only. |
| Recommendation — Use PR.AA-05 to constrain IoT access to approved devices, services and network paths. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Authentication and credential control are central to preventing unauthorised IoT access. |
| Recommendation — Apply IA-5 to manage device authenticators, rotate credentials and revoke compromised access. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The article describes how device compromise can lead to broader network movement and abuse. |
| Recommendation — Map IoT compromise patterns to TA0006 and TA0008 to improve detection and containment. | ||
| OWASP Non-Human Identity Top 10 | NHI-04 — Insecure Authentication | Connected devices and their certificates or secrets behave like non-human identities when authentication is weak. |
| Recommendation — Treat IoT authenticators as NHI credentials and harden authentication paths against reuse and spoofing. | ||
Key terms
- Shadow IoT: Shadow IoT is the set of connected devices that exist or operate outside security oversight. These devices are often unregistered, poorly patched, and unmanaged by a clear owner, which makes them difficult to trust, monitor, or retire safely.
- Device Lifecycle Governance: Device lifecycle governance is the set of controls that cover provisioning, assignment, use, recovery, and retirement of shared endpoints. It matters because a device that is managed only at enrollment can still become risky if ownership, status, and decommissioning are not kept current.
- IoT Supply-Chain Risk: IoT supply-chain risk is the possibility that a device or its software becomes compromised before it reaches the user or during update delivery. It covers manufacturing, distribution and firmware update paths, where attackers can insert malicious code or weaken trust in the device.
- Network Segmentation: Network segmentation divides traffic and resources into controlled zones so access can be restricted between groups, systems, or applications. In remote access design, segmentation limits what a connected user or workload can reach after authentication, which reduces lateral movement and shrinks blast radius.
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Published by the NHIMG editorial team on July 11, 2026.
Updated on October 11, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org