TL;DR: Identity sprawl across hybrid environments, multiple clouds, and machine identities is making identity-based attacks harder to contain, and Axiad argues that identity fabrics are the process layer needed to unify risk-aware control across siloed IAM systems. The real shift is from product thinking to interoperable identity governance, where identity becomes the last perimeter that matters.
At a glance
What this is: This article argues that identity sprawl has turned fragmented IAM environments into a security risk, and that identity fabrics are the process model for joining siloed identity controls.
Why it matters: It matters because IAM teams now have to govern human and machine identities across multiple clouds, while keeping risk data visible enough to contain compromise and lateral movement.
Context
Identity sprawl is what happens when identity control outgrows the boundaries of a single IAM system. In this article, Axiad frames the problem as a shift from simple employee identity management to hybrid environments with customers, partners, machines, and multiple cloud silos.
The governance gap is not just more identities. It is that separate identity systems no longer produce a shared risk picture, so compromised credentials, reused accounts, and over-privileged access can sit in different control planes without a common response path.
Key questions
Q: How should security teams assess whether identity silos are creating hidden risk?
A: Start by mapping where identity data, risk signals, and privilege decisions stop moving between directories, cloud services, and machine identity systems. If one control plane cannot see compromise or over-privilege in another, you do not have unified governance. The test is whether risk can be observed and acted on across the full identity estate, not whether each system works in isolation.
Q: Why do identity fabrics matter for zero trust programs?
A: Zero trust depends on continuous, shared identity context. When identity and risk data remain trapped in silos, policy enforcement becomes local and incomplete, which weakens the whole model. Identity fabrics matter because they create the interoperability needed for identity to function as the last perimeter across cloud, on-premises, human, and machine access paths.
Q: What breaks when machine identities are governed separately from human IAM?
A: Separate governance creates blind spots in entitlement review, revocation, and monitoring. A machine identity can retain broad access long after the business need changes, and teams may never see it inside the human access review cycle. That leaves runtime access outside normal oversight.
Q: How can IAM, SOC, and GRC teams work from the same identity risk picture?
A: They need a shared set of identity signals that can move from authentication and access systems into detection, response, and governance workflows. When those teams operate from different versions of identity truth, remediation slows and risk acceptance becomes inconsistent. A shared picture turns identity from an operational problem into a coordinated security process.
Technical breakdown
Why identity silos make risk hard to see
Identity silos fragment authentication, privilege, and risk data across on-premises IAM, cloud identity, and machine identity systems. When those systems do not interoperate, a compromise in one domain may not be visible in another, which weakens both detection and response. The article’s core point is that identity risk is no longer local to a single directory or workforce population. It spreads across the full identity estate, including non-human identities that are often managed separately from human users.
Practical implication: build cross-system visibility before you try to tune individual identity controls.
How identity fabrics work as a system of systems
An identity fabric is not a single platform. It is a composable layer that connects existing IAM tools so they can share identity and risk data and operate as one governance system. That makes the fabric a process and integration model, not a product purchase. The architectural value is abstraction: teams can keep existing tools but stop treating them as standalone islands. In practice, the fabric only exists if the connected systems can exchange risk signals and enforce policy across identity boundaries.
Practical implication: evaluate whether your IAM tools can share risk data, not just whether they authenticate users.
Why identity first changes the control model
An identity-first approach moves security thinking from point controls to identity process control. That matters because identity compromise often becomes the path to lateral movement, especially when credentials are reused or privileges are broader than the business need. In this model, zero trust is not layered on top of identity after the fact. It depends on identity being continuously assessed, shared, and governed across all environments where access decisions are made.
Practical implication: align identity governance, SOC, and cloud teams around shared identity risk signals.
Breaches seen in the wild
- Scania insurance portal breach 2025: An attacker used an external user login, likely stolen by infostealer malware, to take insurance claim documents from a Scania portal.
- Co-op cyber attack 2025: Attackers linked to Scattered Spider tricked their way into a Co-op employee account and stole personal data of all 6.5 million members.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Identity sprawl is now a governance problem, not just an architecture problem. The article correctly frames modern identity risk as the product of scattered ownership, inconsistent controls, and multiple identity silos. Once human, machine, partner, and customer identities are governed in separate planes, the organization loses the ability to reason about identity as one control surface. The practitioner implication is that identity governance has to become cross-domain by design.
The decisive shift is from tools to interoperable identity processes. Axiad’s article makes a useful distinction: identity fabrics are not deployed like a product, they emerge when systems can exchange identity and risk data. That is the right lens for IAM teams because the problem is less which tool you own and more whether the tools can act together. The practical conclusion is that integration quality is now a security control, not just an IT concern.
Identity risk data is the connective tissue of modern zero trust. The article points out that risk-aware control only works when systems can share the signals that make identity decisions meaningful. That is true across human IAM, NHI governance, and cloud access paths. Without shared risk context, least privilege becomes a local policy rather than a coordinated posture, and local policy is not enough to stop identity-based attacks.
Machine identities belong in the same identity fabric as people. The article explicitly includes endpoints, servers, cloud machines, workloads, and containers in the identity picture. That is the right call, because separate governance for human and machine identities creates blind spots in access review, compromise detection, and response. The practitioner takeaway is to stop treating machine identity as a side program and bring it into the main identity governance model.
Identity fabric is the right concept because security now fails at the seams. The article’s strongest insight is that modern enterprise risk is created by the gaps between IAM systems, not only by weaknesses inside them. That maps directly to how attackers move from compromised credentials to broader access. NHI Mgmt Group’s position is that the control objective is no longer isolated authentication strength, but stitched-together governance across the entire identity estate.
What this signals
Identity sprawl is the hidden tax on modern IAM programmes: once identity decisions are split across cloud directories, machine identity systems, and separate business units, the organisation stops seeing risk as one problem. That changes the operating model for governance, because the question is no longer whether each system is secure, but whether the programme can still connect its decisions end to end.
Identity fabrics are best understood as integration discipline, not a new control product: the model only works when identity, authentication, and risk data move across the full estate. For practitioners, the signal is clear. Mature identity governance now depends on whether controls can collaborate across platforms, not on whether any single platform can carry the programme alone.
For practitioners
- Inventory identity control seams Map every directory, cloud identity service, PKI system, and machine identity source to find where identity data stops flowing between tools.
- Prioritize shared risk data Require identity and authentication systems to exchange risk signals before treating them as a functioning fabric.
- Unify human and machine identity governance Bring endpoints, workloads, servers, and containers into the same identity governance review process as employees and partners.
- Connect IAM to SOC operations Route identity risk into SIEM, SOAR, and GRC workflows so compromise signals are visible to the teams that can act on them.
Key takeaways
- Identity sprawl turns separate directories, cloud accounts, and machine identities into one governance problem with many blind spots.
- The article’s main evidence is that identity-based attacks exploit reuse, over-privilege, and disconnected control planes rather than a single weak system.
- IAM teams should treat identity fabric as a process model that connects risk data, governance workflows, and response teams across the full identity estate.
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 and MITRE ATT&CK 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-05 — Overprivileged NHI | The article highlights over-privileged accounts and machine identities as part of the risk surface. |
| NHI-08 — Environment Isolation | Identity silos across clouds and environments are a central theme in the article. | |
| Recommendation — Review NHI privilege scope and remove standing access that creates lateral movement opportunities. Separate and govern identity boundaries so risk data can move without collapsing environment controls. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The article ties credential reuse and over-privilege to compromise and lateral movement paths. |
| Recommendation — Map reused credentials and over-privileged accounts to credential access and lateral movement detections. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about governing entitlements across distributed identity systems. |
| Recommendation — Validate access permissions and authorizations across directories, clouds, and machine identities as one control plane. | ||
| NIST Zero Trust (SP 800-207) | Section 1.1 — Zero Trust principles | The article explicitly says identity fabrics help zero trust principles take root. |
| Recommendation — Apply zero trust principles to identity decisions so risk context is shared before access is granted. | ||
Key terms
- Identity Sprawl: Identity sprawl is the uncontrolled growth of identities, entitlements, and credentials across an environment. For NHIs, it usually appears when automation creates accounts faster than governance teams can inventory, review, and remove them. The result is hidden access, weak accountability, and a wider attack surface.
- Identity Fabric: An identity fabric is a connected control model that shares context across governance, privileged access, and access management. It is not a product category. The aim is to make identity decisions coherent across the full lifecycle so ownership, privilege, and enforcement reinforce each other.
- Identity-first security: Identity-first security is an approach that treats identity as the primary control plane for managing risk. Instead of relying mainly on network or endpoint boundaries, it uses identity context to decide what can happen, when it can happen, and under what conditions. That model is especially relevant where privileges move across human, non-human, and agentic actors.
- Identity Silos: Identity silos are isolated identity systems that manage access independently and do not share policy or lifecycle signals cleanly. They create fragmented governance, duplicate administration, and inconsistent audit outcomes, especially in hybrid and multi-cloud environments.
Deepen your knowledge
Identity lifecycle management, secrets management, and workload identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on June 12, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org