TL;DR: Disconnected systems, legacy platforms and shadow SaaS are leaving identities outside central governance, while unmanaged non-human accounts and shared credentials create persistent access risk across complex environments, according to Gathid. Holistic discovery, contextual data and localised cleanup are now essential because identity risk increasingly lives beyond the systems IAM teams already monitor.
At a glance
What this is: This is an analysis of how unmanaged identities in disconnected systems, legacy platforms and shadow SaaS create hidden access risk across complex environments.
Why it matters: It matters because IAM, NHI and governance teams cannot rely on core-system coverage when critical access often persists in the tools, accounts and service identities they do not see.
By the numbers:
- It is not uncommon for organisations to have upwards of 50 cloud environments, each configured differently, with its own identity settings.
👉 Read Gathid's analysis of unmanaged identities in disconnected systems
Context
Identity governance breaks down when access is spread across systems that are not connected to a central lifecycle process. In practice, the hardest problems are not always in core IAM platforms, but in the disconnected tools, legacy systems and cloud accounts where credentials linger after owners change or leave.
This matters for NHI governance as much as for human access. When service accounts, shared logins and ad hoc departmental tools sit outside standard review cycles, organisations lose the ability to prove ownership, justify privilege or reliably remove access when it is no longer needed.
Key questions
Q: How should teams govern access in disconnected systems that do not integrate with IAM?
A: Teams should treat disconnected systems as first-class governance targets, not exceptions. Use exports, manual audits and local reports to inventory accounts, then tie those records back to authoritative HR, contract or asset data. If a system cannot join the main IAM stack, it still needs ownership, review and offboarding.
Q: Why do legacy platforms create persistent identity risk?
A: Legacy platforms create persistent risk because access is often managed locally, without federation or automated lifecycle sync. That means departures, role changes and contractor offboarding may not revoke access, leaving credentials active long after they should have been removed. The risk is durability, not just obscurity.
Q: What do security teams get wrong about non-human identities?
A: Teams often treat service accounts, bots and integrations as technical details instead of governed identities. That mistake leaves elevated permissions unowned, unreviewed and sometimes effectively permanent. NHI governance should require the same ownership, expiry and monitoring expectations that apply to human access.
Q: How can organisations reduce identity risk without replacing every legacy system?
A: Organisations can reduce risk by prioritising the highest-impact identities first. Start with orphaned accounts, privileged access, and systems holding sensitive data, then build local remediation lists for business owners. The objective is visible control and measured cleanup, not perfect platform standardisation.
Technical breakdown
Why disconnected systems become identity blind spots
Disconnected systems are identity blind spots because they do not participate cleanly in the normal identity lifecycle. A platform may lack APIs, connectors or reliable sync with HR and asset records, so access is maintained manually, exported into CSVs or reviewed only when someone remembers to ask. That creates a governance gap between the system of record and the system of access. The result is often orphaned accounts, stale entitlements and no clear owner to approve or revoke access.
Practical implication: build discovery processes for systems that cannot join your central IAM stack.
How legacy access persists without lifecycle control
Legacy systems often keep access alive because their identity model is local, static or operationally frozen. Older applications may not support federation, automation or modern recertification, yet they still hold sensitive data and privileged functions. If the environment is validated, air-gapped or regulated, teams frequently defer upgrades and continue with manual administration. That means departures, role changes and contractor offboarding do not automatically remove access. The control failure is not visibility alone, but the absence of a dependable lifecycle mechanism tied to authoritative source data.
Practical implication: treat legacy access as a lifecycle problem, not a technical exception.
Why non-human identities need the same governance discipline
Non-human identities expand quickly because every integration, script, bot and model requires some form of authentication. Unlike human users, these identities can be created in bulk, granted elevated permissions and left without a meaningful owner. They are also easy to overlook because they do not appear in familiar joiner-mover-leaver workflows. Without expiration, monitoring and periodic review, they become durable access paths that outlive the business process that created them. In a cloud-heavy environment, that durability turns NHI sprawl into a governance and detection problem.
Practical implication: apply ownership, expiry and review controls to machine identities as a standard governance rule.
NHI Mgmt Group analysis
Shadow identity is now a governance category, not a cleanup task. The article describes a control problem that sits between sanctioned IAM and everything the business creates without waiting for central approval. That is not a visibility annoyance, it is a structural governance gap because ownership, review and offboarding no longer map cleanly to the systems where access is actually used. Practitioners should treat shadow identity as an enterprise control domain.
Legacy access persists because lifecycle assumptions fail outside modern platforms. Traditional IAM assumes systems can sync, review and revoke against a common source of truth. The article shows that assumption breaking in older applications, remote facilities and operational environments where manual administration remains the norm. The implication is that identity governance has to account for systems that will never behave like federated SaaS, not just add more tooling around them.
Upwards of 50 cloud environments is not just sprawl, it is identity fragmentation at scale. When each environment carries its own settings, review model and exception history, central policy becomes advisory rather than enforceable. That fragmentation weakens least privilege, slows recertification and creates more places for NHI drift to hide. Practitioners should read multicloud as a governance architecture problem, not a provisioning problem.
Non-human identities are becoming the easiest place to accumulate unowned privilege. The article correctly puts bots, automation scripts and service integrations in the same risk conversation as human accounts, because they often inherit elevated access without a business owner who understands the blast radius. That is where NHI governance becomes indispensable: if no one can answer who owns the identity, no one can credibly certify it.
Digital twins and knowledge graphs are most useful when they expose ownership failures. The value is not the model itself, but the ability to show where access exists without authoritative context from HR, contracts or asset inventories. That exposes the real failure mode, access that survives organisational change. Practitioners should use those models to prioritise revocation work where accountability is missing.
From our research:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
- Enterprises that have experienced a compromised NHI averaged 2.7 separate incidents in the past 12 months, which points to recurring control weakness rather than one-off exposure.
- For broader lifecycle context, read Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs to connect discovery, ownership and offboarding.
What this signals
Shadow identity will keep widening until discovery extends beyond systems that already sit inside your IAM programme. The practical shift is to govern disconnected apps, local admin stores and departmental SaaS as part of one identity estate, not as edge cases that can be deferred.
With 72% of organisations having experienced or suspecting a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities, the programme signal is clear: machine identities are not a future problem. They are already a recurring source of exposure, especially where ownership and expiry are weak.
Teams should expect knowledge graphs and digital twins to become more useful for remediation prioritisation, but only if they are fed authoritative context from HR, contract and asset systems. Without that linkage, the model describes sprawl but does not resolve accountability.
For practitioners
- Discover non-standard identity stores first Map every system where credentials, roles or shared access exist, including marketing tools, legacy applications, remote facility systems and ad hoc cloud accounts. Use exports, reports and manual checks where integrations do not exist so those assets are not excluded from governance.
- Tie access to authoritative business context Join identity records to HR, contract and asset data so role changes, departures and vendor changes can drive removal of access in disconnected platforms. Where automation is impossible, create a repeatable manual review and update process.
- Prioritise orphaned and privileged accounts Focus cleanup on systems with sensitive data, accounts without clear ownership and permissions that have no documented business justification. Use local reports to give department owners a concrete remediation list rather than a generic policy gap.
- Apply expiry and review rules to machine identities Set ownership, expiration and usage monitoring for service accounts, bots and integrations, especially where elevated permissions were granted for a temporary project but never revisited. Treat these identities as part of the same lifecycle discipline as human access.
Key takeaways
- Identity risk in complex environments is increasingly concentrated in disconnected systems, legacy platforms and shadow SaaS that sit outside normal governance.
- Machine identities amplify the problem because they can inherit elevated access without the ownership or review discipline applied to human accounts.
- The most effective response is not blanket standardisation, but discovery, authoritative context and targeted cleanup of orphaned and privileged access.
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 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-01 | Discovery of hidden identities maps directly to unmanaged NHI inventory gaps. |
| NIST CSF 2.0 | PR.AA-01 | Authoritative identity data is needed to manage access across fragmented environments. |
| NIST Zero Trust (SP 800-207) | AC-1 | Zero trust requires continuous verification even when identity lives outside the perimeter. |
Link access decisions to authoritative sources and review exceptions in disconnected systems.
Key terms
- Shadow Identity: An identity that exists outside central governance, often in a tool, account or system created without formal oversight. Shadow identities include shared logins, departmental SaaS accounts and unmanaged service credentials that keep working even when ownership, review and offboarding are missing.
- Disconnected System: A platform that cannot participate cleanly in the normal identity lifecycle because it lacks integrations, reliable sync or modern governance hooks. These systems force manual access administration, which increases the chance that privilege persists after role changes or departure.
- Digital Twin: A virtual model of an identity environment used to analyse accounts, roles and relationships without changing production systems. In governance work, it helps teams identify orphaned access, conflicting permissions and lifecycle gaps across legacy and multicloud estates.
- Knowledge Graph: A relationship model that connects users, systems, roles and permissions so identity patterns can be analysed across silos. It is useful when local views are incomplete, because it can expose ownership gaps, overlapping access and hidden privilege paths that isolated reports miss.
Deepen your knowledge
NHI governance, machine identity security, and identity lifecycle management 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 access governance in your organisation, it is worth exploring.
This post draws on content published by Gathid: Identity isn't just a security concern. Read the original.
Published by the NHIMG editorial team on 2025-10-20.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org