Zero Trust disadvantages expose identity governance gaps

At a glance

What this is: This is an Axiad blog post arguing that Zero Trust creates operational and governance burdens even when the model is directionally right.

Why it matters: It matters because IAM, NHI, and human access programmes all inherit the same control overhead when every access decision must be continuously authenticated and authorised.

By the numbers:

• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.

👉 Read Axiad's blog post on the disadvantages of Zero Trust

Context

Zero Trust is not a single product or control. It is a security operating model that assumes no implicit trust and requires continuous verification before access is granted or maintained. The governance gap is that many organisations adopt the language of Zero Trust without accounting for the identity lifecycle work required to sustain it across human users, service accounts, and workload identities.

Axiad’s post focuses on the trade-offs practitioners feel when Zero Trust is implemented at scale: more policy decisions, more access friction, and more operational load on identity teams. That framing is relevant to NHI governance because machine identities often carry the heaviest hidden burden in zero-trust programmes, especially where authentication, authorisation, and review processes were designed for humans first.

Key questions

Q: How should organisations implement Zero Trust without creating too much friction?

A: Start with the highest-risk access paths and keep the policy model as simple as possible. Use stronger authentication, but pair it with clean roles, accurate ownership, and lifecycle reviews so users and admins are not forced into repeated exceptions that weaken security.

Q: Why do machine identities make Zero Trust harder to operate?

A: Machine identities often outnumber humans, move at higher speed, and depend on consistent policy decisions. If service accounts, API keys, and workloads are not owned, reviewed, and rotated properly, Zero Trust adds more decision points than the programme can reliably govern.

Q: What breaks when adaptive access control is deployed without good identity data?

A: Adaptive access becomes noisy and inconsistent when identity, device, or context signals are stale or incomplete. That can delay legitimate access, increase false denials, and encourage bypass behaviour, which is why telemetry quality is a governance issue, not just a technical one.

Q: Who should own Zero Trust governance across human and machine identities?

A: IAM, security architecture, and identity operations should share ownership, with explicit accountability for service accounts and workloads. Zero Trust only works when access policy, lifecycle management, and exception handling are governed as one programme rather than separate silos.

Technical breakdown

Why Zero Trust increases identity decision volume

Zero Trust shifts access from perimeter-based trust to decision-based trust. Every request is evaluated against identity, device, application, and context signals, which means the system must make more authorisation decisions more often. In practice, that increases dependency on policy engines, identity providers, and access telemetry that can keep up with runtime demand. When identity governance is immature, the result is not just stricter control but more operational churn, because every exception, role change, and service connection becomes a policy event.

Practical implication: map which access paths will create the highest review and policy volume before expanding Zero Trust across the estate.

Adaptive access control and the performance trade-off

Adaptive access control reduces blunt allow or deny decisions by using risk context to shape access. That improves precision, but it also adds dependence on telemetry quality, signal freshness, and policy tuning. If the risk engine is noisy or the trust signals are incomplete, legitimate access can become slow or inconsistent. For NHI environments, this is especially sensitive because service accounts and workloads often require machine-speed decisions that cannot tolerate manual exception handling or delayed policy evaluation.

Practical implication: test adaptive policies against service accounts and workload flows before using them as the default trust model.

Passwordless, MFA, and the productivity question

Zero Trust often relies on stronger authentication patterns such as MFA and passwordless access to reduce credential risk. Those controls improve assurance, but they also change the user and administrator experience. When deployed without lifecycle discipline, they can create access bottlenecks, excess support demand, and workarounds that weaken the programme. The technical issue is not authentication alone. It is whether identity processes can preserve usability while still enforcing assurance at the right points in the access chain.

Practical implication: pair stronger authentication with access reviews and role cleanup so friction does not push users toward insecure shortcuts.

NHI Mgmt Group analysis

Zero Trust fails as a programme when identity lifecycle work is treated as secondary. The model adds value only when access governance, provisioning, review, and offboarding can keep pace with continuous verification. Without that discipline, organisations create more control points but not better control, and the burden shifts onto identity teams already managing human and machine access.

Identity friction is the hidden cost centre in Zero Trust programmes. The post correctly surfaces complexity, manpower, and productivity as pain points, but the deeper issue is that every added access decision expands the operating surface for IAM and NHI teams. Practitioners should treat policy sprawl and review fatigue as design failures, not inevitable side effects.

90% of IT leaders tying NHI management to Zero Trust success shows where the model actually breaks in practice. Zero Trust assumes identities can be verified continuously, yet most enterprises still lack full visibility into service accounts, secrets, and workload credentials. The implication is that Zero Trust maturity is constrained by machine identity governance, not just by human authentication strength.

Adaptive access only works when identity signals are trustworthy and stable. Risk-based authorisation sounds elegant, but it depends on telemetry quality, consistent device posture, and clear identity ownership. In environments with weak NHI lifecycle controls, adaptive policy becomes reactive instead of reliable, which is why governance quality matters more than policy sophistication.

Identity blast radius is the right named concept for this problem. Zero Trust is often discussed as if it reduces exposure by default, but the operational reality is that every poorly governed identity expands the number of systems, policies, and exceptions that must be managed. Practitioners should measure the blast radius of each identity type before assuming the model will scale cleanly.

From our research:

• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which explains why Zero Trust programmes often stall at the machine-identity layer.
• For a deeper control baseline, see Ultimate Guide to NHIs , Key Challenges and Risks for the visibility, rotation, and offboarding problems that shape zero-trust maturity.

What this signals

Identity blast radius: teams should treat Zero Trust as a governance expansion problem, not only an access-control problem. As policy decisions multiply, the real question becomes how much unmanaged identity complexity the programme is willing to absorb before friction overtakes security value.

With 96% of organisations storing secrets outside secrets managers in vulnerable locations, per the Ultimate Guide to NHIs, Zero Trust cannot be judged only by authentication strength. It must also be measured by whether hidden credentials, service accounts, and workload paths are being brought under control.

For practitioners, the near-term signal is whether Zero Trust design reviews now include lifecycle ownership, offboarding discipline, and machine identity visibility. If they do not, the programme will likely create more enforcement points than the organisation can sustainably operate.

For practitioners

• Inventory identity decision points Map every place where Zero Trust introduces an authorisation decision, then identify which of those paths affect human logins, service accounts, API tokens, and workload identities.
• Stress-test adaptive access policies Validate risk-based access rules against high-frequency machine-to-machine traffic so you can see where latency, false positives, or missing telemetry will break production access.
• Reduce identity friction before broad rollout Clean up stale entitlements, tighten role design, and remove duplicated access paths so MFA, passwordless, and policy checks do not push users toward insecure workarounds.
• Tie Zero Trust to NHI lifecycle governance Make service account ownership, rotation, and offboarding part of the same operating rhythm as user access reviews, because machine identities are often the control gap that breaks the model at scale.

Key takeaways

• Zero Trust adds real governance cost when organisations expand policy decisions faster than they can manage identity lifecycle work.
• Machine identities are often the weakest link in zero-trust programmes because their ownership, visibility, and review processes are still immature.
• The practical test is not whether Zero Trust is conceptually sound, but whether IAM and NHI operations can sustain the extra decision load without creating bypasses.

Key terms

• Zero Trust: A security model that assumes no implicit trust based on network location or prior access. Every request is evaluated using identity, device, application, and context signals before access is granted or continued.
• Adaptive Access Control: An access model that changes authorisation decisions based on real-time risk signals such as user context, device posture, and behaviour. It improves precision, but it depends on reliable telemetry and strong policy governance to avoid friction or false denial.
• Identity Blast Radius: The amount of systems, policies, and exceptions affected when one identity is poorly governed. In Zero Trust programmes, blast radius grows when service accounts, secrets, and user entitlements are not owned, reviewed, or removed cleanly.
• Machine Identity: A non-human identity used by software, services, or workloads to authenticate and access resources. These identities often operate at higher speed and scale than human users, which makes lifecycle control, visibility, and ownership essential in Zero Trust environments.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Axiad: What Are the Disadvantages of Zero Trust? (And How to Overcome Them). Read the original.