Identity sprawl is breaking correlation across human and machine access

At a glance

What this is: This analysis argues that identity sprawl is a correlation problem, not just an account-count problem, and that fragmented tooling hides how human and non-human identities map across environments.

Why it matters: It matters because IAM, PAM, IGA, and NHI programmes all depend on knowing which identity actually did what, and fragmentation breaks that accountability across human, workload, and agentic access.

By the numbers:

• Only 5.7% of organisations have full visibility into their service accounts.
• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.

👉 Read AuthMind's analysis of identity sprawl and identity observability

Context

Identity sprawl happens when the same person, service account, or AI-driven workload is represented differently across directories, cloud platforms, PAM, IGA, and local systems. In practice, that means access decisions are made in one place while activity is observed in another, so the organisation loses the ability to reliably connect identity, privilege, and action.

The primary failure is correlation, not storage. When identity data is duplicated or synchronised without a single control plane, shadow accounts, stale entitlements, and alias identities persist outside governance. For teams running human IAM, NHI security, and agentic workflows together, that breaks accountability across the entire identity lifecycle.

Key questions

Q: How should security teams reduce identity sprawl across human and machine accounts?

A: Start by building a unified identity inventory that links each account to one owner, one purpose, and one environment. Then reconcile duplicates across IAM, PAM, IGA, cloud, and local systems so access reviews work from a single identity truth instead of fragmented records.

Q: Why do synchronised identity systems still leave risk behind?

A: Because synchronisation moves data between systems without proving that each record refers to the same actor. A user can still exist as several identities with different entitlements, which means privilege overlap, orphaned access, and accountability gaps remain even when directories appear current.

Q: What do teams get wrong about shadow access?

A: They often treat shadow access as a discovery problem only, when it is also a correlation problem. Finding the account is not enough if the organisation cannot link it back to the person, workload, or process that created and operates it.

Q: How do organisations know whether identity observability is working?

A: It is working when every privileged event can be traced back to one accountable identity across systems, including aliases and non-human accounts. If reviews still rely on separate tool reports and manual reconciliation, the organisation has visibility, but not correlation.

Technical breakdown

Why synchronisation does not equal identity correlation

Synchronisation copies records between systems, but correlation reconstructs one identity across multiple systems, roles, and activity trails. An enterprise can have clean directory sync and still fail to know that a developer, a cloud role, and a production local account are all part of the same access chain. That matters because IAM policy engines decide permissions inside their own boundary, while actual risk emerges when entitlements overlap across boundaries. Identity observability is the missing layer because it links alias identities, activity, and ownership into one contextual view.

Practical implication: Treat sync as a data transport function and separately validate whether your controls can unify identity activity across platforms.

Identity observability as the control plane for hidden access

Identity observability is the discipline of continuously mapping access and activity back to one identity across human accounts, service accounts, and agentic workloads. It does not replace IAM or PAM. Instead, it exposes where those tools are blind, such as unmanaged local accounts, duplicate cloud identities, and orphaned privileges that remain active after offboarding. The architectural shift is from policy enforcement alone to policy plus traceability. Without traceability, governance teams cannot prove who owns what or whether the same actor is bypassing controls through a different identity surface.

Practical implication: Build correlation requirements into identity architecture so ownership, access, and activity can be traced end to end.

How shadow access turns identity sprawl into escalation paths

Shadow access is any account or entitlement that exists outside the organisation's normal governance loop. In fragmented environments, one system may show a user as removed while another retains a local admin account, API key, or workload credential. That creates privilege overlap, stale access, and hidden pathways for escalation. The article's key point is that modern environments are not failing because they lack tools, but because the tools are not sharing a coherent identity model. As agentic AI and multi-cloud estates expand, those blind spots grow faster than manual review cycles can close them.

Practical implication: Prioritise discovery and correlation of unmanaged identities before you rely on recurring access reviews to reduce risk.

Threat narrative

Attacker objective: The attacker or insider aims to move through identity fragmentation to reach privileged actions while avoiding unified detection and attribution.

1. Entry occurs when a user, service account, or agent is represented as multiple identities across directories, cloud platforms, and local systems, allowing access to persist outside a single governance boundary.
2. Escalation follows when overlapping permissions and stale entitlements create unintended privilege paths between those disconnected identity records.
3. Impact is the ability to use shadow access or bypassed privileges without a coherent audit trail that shows who actually owns or operated the identity.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• Codefinger AWS S3 ransomware attack — Codefinger used compromised AWS credentials to encrypt S3 buckets via SSE-C.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity sprawl is a governance failure before it is a tooling failure. Enterprises often describe the problem as too many identities, but the deeper issue is that the same actor is represented inconsistently across IAM, PAM, IGA, cloud, and local systems. When those records cannot be correlated, ownership, privilege, and activity stop lining up, and governance becomes partial by design. That means the control objective is not just centralisation but identity truth across environments.

Identity observability is the missing discipline between policy and proof. IAM and PAM can define what should happen, but they do not on their own prove which identity actually performed an action across disconnected systems. The field needs a control layer that correlates aliases, local accounts, workload identities, and agentic actors back to one accountable subject. Practitioners should treat traceability as a governance requirement, not a reporting enhancement.

Shadow access persists because organisations still manage identities as isolated records. The article correctly shows that synchronisation alone does not remove duplicate or orphaned access, it only replicates it faster. That leaves legacy accounts, cloud roles, and non-human credentials outside the same review logic, which is why offboarding and privilege review often fail in practice. Practitioners should assume hidden access exists until correlation proves otherwise.

Agentic AI makes the correlation problem broader, not narrower. As humans create large numbers of agents and NHIs, the identity graph expands into a web of creators, operators, delegates, and runtime executors. That requires cross-actor governance because the same human may now control a fleet of non-human identities that remain invisible in standard IAM views. The implication is that identity governance must track provenance and operational ownership, not just account status.

Identity observability creates the practical basis for zero-trust enforcement across human and machine access. Zero Trust depends on continuous verification, but verification is weak when the organisation cannot confidently identify which account, alias, or workload is acting. The article's central contribution is to show that correlation is now foundational to both human IAM and NHI governance. Practitioners should treat the identity graph as a security asset that must be continuously reconciled.

From our research:

• Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
• For a broader control perspective, see NHI Lifecycle Management Guide for provisioning, rotation, and offboarding discipline.

What this signals

Identity correlation is becoming a prerequisite for governance. As estates add cloud, PAM, IGA, directory, and agentic identity layers, programme owners need a control model that can reconcile access across all of them. Without that, access reviews will continue to certify fragments rather than identities. The practical shift is from asking whether a tool has policy coverage to asking whether the programme can prove one actor behind many records.

The next maturity step is not more directory synchronisation. It is the ability to resolve aliases, local accounts, and non-human identities into a single operational graph that can support offboarding, recertification, and privilege investigation. For teams already stretched by hybrid and multi-cloud complexity, that graph becomes the foundation for faster incident triage and more credible governance evidence.

Shadow access will remain the default until discovery and ownership are connected. Organisations should expect hidden accounts to persist wherever systems are isolated or legacy controls survive outside modern governance loops. That makes identity observability a forward-looking investment in control assurance, especially where humans now create and operate fleets of non-human identities.

For practitioners

• Map duplicate identities across systems Inventory every human, service account, and agentic identity across directory, cloud, PAM, and local systems, then reconcile aliases to one accountable owner.
• Audit shadow accounts and local admins Search for unmanaged local accounts, dormant production IDs, and non-directory admin access that survive offboarding or bypass PAM controls.
• Correlate activity with ownership records Require every privileged action to resolve back to a named owner, creator, or operator, especially where non-human identities are involved.
• Separate synchronisation from governance Treat identity sync as plumbing only and add correlation checks before access reviews, recertification, or privilege remediation cycles.

Key takeaways

• Identity sprawl is dangerous because it breaks correlation between who owns an identity, where it exists, and what it can do.
• Synchronisation alone does not solve governance when the same actor appears as multiple accounts across IAM, PAM, cloud, and local systems.
• Identity observability is the practical response because it ties access, activity, and ownership back to one accountable identity.

Key terms

• Identity sprawl: Identity sprawl is the accumulation of overlapping, duplicated, and inconsistently managed identities across systems. It becomes a governance issue when the organisation can no longer reliably tell which account belongs to which actor, what it is for, or whether its privileges are still legitimate.
• Identity observability: Identity observability is the ability to continuously correlate identity, access, and activity across tools and environments. It gives security teams a single operational view of who or what acted, where the action occurred, and whether the account, alias, or workload was properly governed.
• Shadow access: Shadow access is any account, entitlement, or credential that exists outside normal governance and review processes. It often appears in legacy systems, local accounts, or non-human credentials that persist after offboarding, making it difficult to detect, attribute, or remove.
• Correlation: Correlation is the process of linking separate identity records and activity events back to one real actor. Unlike synchronisation, it does not just copy data between systems. It creates accountability by showing that multiple accounts, roles, or tokens are really the same subject.

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 AuthMind: identity sprawl and the mechanics of identity observability. Read the original.