Identity fabrics expose why identity sprawl now defines security risk

At a glance

What this is: This is an analysis of identity fabrics as a response to identity sprawl, with the central finding that siloed IAM systems no longer provide enough shared risk visibility across human and machine identities.

Why it matters: It matters because IAM, NHI, and PAM teams now have to govern identity risk across disconnected clouds, machines, and users, not just inside one directory or platform.

By the numbers:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
• Only 5.7% of organisations have full visibility into their service accounts.
• NHIs outnumber human identities by 25x to 50x in modern enterprises.

👉 Read Axiad's analysis of identity fabrics and identity sprawl

Context

Identity sprawl is what happens when identities, privileges, and controls multiply faster than the teams responsible for governing them. In practical terms, the problem is not only volume but fragmentation: human users, machine identities, cloud workloads, and third-party access now sit across disconnected systems that do not share a common risk view.

That fragmentation breaks the old assumption that identity can be managed cleanly inside a single IAM stack. Axiad's argument is that identity security now depends on an identity fabric, meaning interoperable systems that share risk data, expose privilege relationships, and let teams govern access as a process rather than a collection of isolated products.

Key questions

Q: How should security teams reduce identity sprawl across hybrid and multi-cloud environments?

A: Start by building a complete identity inventory across human users, machine identities, partners, and cloud principals, then map where each identity is governed. The main goal is not counting accounts, but finding where privilege and risk data stop flowing between systems. Once those breaks are visible, teams can prioritise integration and cleanup where compromise would create the largest blast radius.

Q: Why do siloed IAM systems make identity risk harder to manage?

A: Siloed IAM systems force each platform to interpret identity in isolation, which makes privilege review, risk scoring, and incident response inconsistent. A credential may look normal in one system while creating unacceptable exposure in another. When teams cannot share identity context across tools, they lose the ability to connect access, behaviour, and business impact in time to contain abuse.

Q: What do organisations get wrong about machine identities and identity governance?

A: They often treat machine identities as an operational detail rather than a governed population with its own lifecycle and privilege profile. That mistake leaves service accounts, workloads, and API credentials outside the same review logic applied to human access. The result is excess privilege, weak visibility, and poor accountability when those identities are compromised or misused.

Q: How do teams know if an identity fabric is actually working?

A: Look for shared identity and risk data across IAM, SOC, GRC, and cloud platforms, plus evidence that privilege decisions are based on that shared context. If teams still need manual reconciliation to understand who or what has access, the fabric is not operational. Effective fabric behaviour is visible when entitlement, lifecycle, and risk changes move together.

Technical breakdown

Identity sprawl in hybrid and multi-cloud environments

Identity sprawl describes the expansion of identities, credentials, and entitlements across more systems than any one team can manually track. In hybrid and multi-cloud environments, each platform often brings its own identity silo, policy model, and visibility gap. That makes risk assessment inconsistent because the same subject can exist as an employee, a service account, a cloud workload, and a third-party principal under different control regimes. Once those identities are managed separately, compromise in one place can propagate through reused credentials or excess privilege elsewhere.

Practical implication: inventory every identity domain and map where privilege can cross from one silo into another.

Identity fabrics and interoperability across IAM systems

An identity fabric is not a product category but an operating model that connects IAM systems, security telemetry, and governance processes into a shared control plane. The technical value is interoperability: systems exchange identity and risk data so entitlements can be evaluated in context rather than in isolation. This matters because identity security failures often emerge at integration points, where one tool sees an account and another sees a workload, but neither sees the full trust chain. A fabric only works if data can move between the tools that govern identity lifecycle, risk, and response.

Practical implication: require shared identity and risk data flows before treating any control stack as fabric-like.

Why over-privilege turns identity compromise into lateral movement

Over-privileged identities turn a single compromised credential into a broader movement path because attackers inherit permissions that were never intended for that subject's normal use. In modern environments, the issue is not just authentication failure, but authorization excess. If service accounts, cloud principals, or users hold standing access beyond their task scope, compromise becomes a platform for lateral movement rather than a contained incident. Identity fabric thinking tries to reduce that blast radius by exposing where privilege is inherited, reused, or left unreviewed across systems.

Practical implication: reduce standing access and trace how privilege is inherited before compromise turns into lateral movement.

Threat narrative

Attacker objective: The attacker wants to turn one compromised identity into broader enterprise access by exploiting fragmented governance and excess privilege.

1. Entry occurs when attackers target identity-based weaknesses such as phishing, credential stuffing, or reused private credentials across accounts.
2. Escalation follows when over-privileged identities or weakly governed machine accounts let the attacker move into systems beyond the original compromise point.
3. Impact comes from broader access across clouds and applications, where fragmented identity controls prevent a unified containment response.

Breaches seen in the wild

• LiteLLM PyPI package breach — LiteLLM PyPI supply chain attack, credentials stolen from users.
• Shai Hulud npm malware campaign — Shai Hulud campaign: npm malware exposed secrets on GitHub.

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 fabrics are a governance response to identity sprawl, not a new product layer. The article is right to reject the idea that one platform can solve identity security across every system. What matters is whether teams can make identity, privilege, and risk visible across directories, clouds, workloads, and third parties as one operating model. Practitioners should treat this as a process architecture problem first and a tooling problem second.

Shared risk data is the real test of whether identity controls are connected. If IAM, SOC, XDR, and GRC cannot exchange identity context, the organisation still has identity silos even if it owns many security products. That failure mode is especially damaging for NHI governance, where service accounts and workload identities often sit outside the human IAM operating rhythm. The practical conclusion is that governance quality depends on whether risk moves across systems, not whether each system is individually strong.

Identity-first security collapses when enterprises keep treating human and machine identities as separate programmes. The article points toward the right operating model by unifying all identities under one risk language. That matters because machine identities now scale faster than human controls and often carry the same or greater privilege. Security teams should stop organising identity governance around department boundaries and start organising it around identity behaviour and exposure.

Excess privilege is the named concept that turns identity sprawl into breach potential. When identities are scattered across disconnected systems, privilege becomes harder to right-size, review, and revoke. That creates a durable attack surface where compromise in one identity domain can be translated into lateral movement in another. Practitioners should read identity fabric as a way to expose and shrink that excess-privilege surface across the estate.

From our research:

• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• For related perspective, read 52 NHI Breaches Analysis for the breach patterns that make identity sprawl operationally dangerous.

What this signals

The operational signal for practitioners is straightforward: if identity data still has to be stitched together manually, the programme is already behind the threat model. Identity fabrics become credible only when entitlement, lifecycle, and risk changes are visible across the systems that actually enforce access, including Ultimate Guide to NHIs as the baseline reference for lifecycle and governance.

Identity fabric debt: this is the accumulation of disconnected controls, mismatched identity models, and unshared risk data that leaves attackers room to turn one compromise into broader access. With 92% of organisations exposing NHIs to third parties, per Ultimate Guide to NHIs, the governance challenge is no longer theoretical. Teams should expect vendor, cloud, and workload identity relationships to become the next pressure point.

For programmes aligned to zero trust, the priority is to make identity context portable across tooling rather than assuming any one control stack can close the gap. The NIST Cybersecurity Framework 2.0 is useful here because it frames governance, protection, detection, response, and recovery as linked outcomes rather than isolated products.

For practitioners

• Map identity silos before redesigning controls Inventory human, machine, customer, partner, and cloud identities across every IAM stack, then document where entitlement data and risk data stop flowing. The goal is to identify the places where a single identity can exist in multiple systems without a consistent view of access.
• Prioritise shared risk telemetry between IAM and security operations Require identity and risk signals to flow into SOC, SIEM, SOAR, and GRC workflows so compromised credentials can be assessed in context. Without that linkage, teams can detect events but still miss the privilege relationships that make them actionable.
• Right-size privileged accounts and machine identities together Review service accounts, workloads, and cloud principals alongside human entitlements so excess privilege is not reduced in one domain while remaining untouched in another. The same governance standard should cover standing access, inheritance, and review cadence across all identity classes.
• Treat identity fabric as an integration requirement Before adding another control tool, verify that it can exchange identity context with the systems already in place. If it cannot share lifecycle, privilege, and risk data, it will add another silo rather than reduce identity sprawl.

Key takeaways

• Identity sprawl is not just account growth, it is a governance failure that hides privilege relationships across human and machine identities.
• The strongest evidence in the article is that identity security now depends on interoperability, shared risk data, and cross-system visibility rather than standalone tools.
• Practitioners should focus on reducing identity silos, right-sizing privilege, and connecting IAM to security operations before the next compromise becomes lateral movement.

Key terms

• Identity fabric: An identity fabric is a connected operating model for identity governance and access control across multiple systems. It links IAM, risk telemetry, and lifecycle processes so teams can evaluate access in context instead of managing each platform as a separate silo.
• Identity sprawl: Identity sprawl is the uncontrolled growth of identities, entitlements, and credentials across too many systems to govern consistently. It becomes a security problem when humans, machines, and third parties are tracked differently, leaving gaps in visibility, review, and revocation.
• Standing privilege: Standing privilege is access that remains continuously available rather than being granted only when needed. In practice, it increases exposure because a compromised identity can be used immediately, and in hybrid environments it often persists longer than teams realise.

Deepen your knowledge

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

This post draws on content published by Axiad: The Next Big Thing in Identity Security: Identity Fabrics. Read the original.