Identity as a service exposes the governance gap in cloud IAM

At a glance

What this is: This is an explainer on IDaaS that argues cloud-delivered identity services simplify IAM operations while centralising access control and audit logging.

Why it matters: It matters because IAM teams now have to govern both human and non-human access through third-party identity layers that can obscure privilege, logging, and remediation responsibilities.

By the numbers:

• 84% of companies experienced an identity-related data breach in 2021.
• IDaaS solutions are rapidly gaining popularity, as demonstrated by the $3.99 billion market size in 2021.

👉 Read StrongDM's full explanation of Identity as a Service and IAM

Context

Identity as a service, or IDaaS, moves core IAM functions into a cloud-delivered subscription model. That can reduce operational burden, but it also shifts the governance problem from infrastructure ownership to control-plane trust, especially when access spans employees, vendors, and non-human identities.

For IAM and NHI practitioners, the key question is not whether identity services are cloud-based. It is whether the organisation still has enough visibility, policy control, and offboarding discipline when authentication, logging, and access decisions are mediated by a third party. In practice, the starting assumption is common rather than exceptional, because most enterprises already rely on cloud identity layers in some form.

Key questions

Q: How should security teams govern non-human identities in cloud IAM environments?

A: Security teams should treat non-human identities as first-class identities with their own lifecycle, ownership, and revocation rules. That means separating service accounts and API keys from workforce SSO, applying least privilege, and reviewing access on a schedule. If an identity can act without a person present, it needs explicit governance rather than inherited trust.

Q: What is the difference between IDaaS and IAM for practitioners?

A: IAM is the broader discipline for managing access policy, identity lifecycle, and authorisation across the enterprise. IDaaS is one delivery model for those functions, usually through a third-party cloud service. Practitioners still own the rules, the reviews, and the offboarding discipline even when the platform is outsourced.

Q: Why does cloud identity management create risk for non-human identities?

A: Cloud identity management can obscure machine access because many platforms were designed around human authentication flows. Service accounts, tokens, and certificates often live longer than the business need that created them, which increases exposure. The risk is not only compromise, but also stale privilege that survives beyond its intended use.

Q: Should organisations rely on SSO and MFA as their main identity controls?

A: No. SSO and MFA are important entry controls, but they do not solve over-privilege, stale access, or secret rotation for non-human identities. Organisations should use them as a baseline and then add entitlement review, token lifecycle management, and offboarding processes for every credential that can be reused.

Technical breakdown

How IDaaS brokers authentication and token issuance

IDaaS platforms sit between users and applications, usually through an API-driven login flow. A user authenticates against an identity provider, which checks directory data, access rules, and policy conditions before issuing a token or assertion to the target application. That token becomes the proof of identity and authorisation for the session. The architectural advantage is consistency across many systems, but the security trade-off is concentration: if the identity layer is misconfigured, compromised, or over-permissioned, downstream applications inherit that failure. Logging and audit trails also depend on the IDaaS provider recording the right events at the right granularity.

Practical implication: Treat the identity layer as a privileged control plane and verify that token issuance, session logs, and policy enforcement are independently auditable.

Why IDaaS changes the attack surface for NHI governance

IDaaS is built to manage people first, but enterprises increasingly extend identity workflows to service accounts, integrations, bots, and other NHIs. That creates a mismatch when the same cloud identity layer is asked to govern long-lived machine credentials, ephemeral automation, and human MFA flows. The control problem is no longer only authentication. It becomes lifecycle management, privilege scope, and revocation speed. If the platform cannot distinguish durable machine access from interactive human access, policy sprawl follows. That is where NHI governance becomes a separate discipline rather than a sub-feature of IAM.

Practical implication: Separate human and non-human identity policies so machine access is not forced into the same assumptions as workforce sign-in.

Where SSO and MFA help, and where they stop helping

SSO and MFA reduce password fragmentation and make workforce access easier to centralise, but neither control solves entitlement excess or stale access. They answer the question of who authenticated, not whether the authenticated identity should still retain that privilege. For NHIs, the weak point is often not interactive login but standing credentials, API tokens, and service account permissions that persist long after the original use case has changed. A cloud IAM layer can improve consistency, yet it does not remove the need for lifecycle review, secret rotation, and explicit offboarding controls.

Practical implication: Use SSO and MFA as baseline controls, then add entitlement review, rotation, and offboarding for every non-human credential.

Threat narrative

Attacker objective: The attacker aims to turn a trusted identity layer into a repeatable path for broad application access and persistence.

1. Entry occurs when an attacker gains valid access through exposed or reused credentials that are trusted by the IDaaS layer.
2. Escalation follows if the identity platform issues broad tokens or inherits stale permissions from over-privileged accounts.
3. Impact arrives when the attacker reuses that trusted identity path to move across applications without triggering obvious perimeter alerts.

Breaches seen in the wild

• Azure Key Vault privilege escalation exposure — Azure Key Vault Contributor role misconfiguration enabled privilege escalation.
• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.

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

NHI Mgmt Group analysis

IDaaS does not remove IAM complexity, it relocates it. Outsourcing authentication and access administration can reduce tooling burden, but it also shifts trust into a provider-managed control plane. That makes configuration quality, logging fidelity, and revocation speed more important, not less. Practitioners should treat cloud identity services as governance infrastructure, not just convenience software.

Identity as a service creates an illusion of completeness when NHI coverage is thin. Workforce sign-in controls often look mature on paper while service accounts, API keys, and automation tokens remain outside the same policy rigor. That gap is the central NHI problem: machines need identity management, but they do not fit neatly into human-centric login workflows. Practitioners should design separate lifecycle controls for non-human access.

Ephemeral access only helps when the underlying trust model is explicit. SSO and MFA can harden entry, but they do not address long-lived authorisation, inherited entitlements, or stale machine credentials. The field still confuses authentication convenience with access governance. Practitioners should measure whether access is both authenticated and continuously justified.

Cloud identity layers increase the value of auditability, but only if logs are actionable. Many IDaaS deployments generate extensive telemetry, yet teams still struggle to translate logs into revocation, review, and exception handling. A log that cannot drive a control decision is evidence, not governance. Practitioners should connect identity logs to review and response workflows.

Separation of human and machine identity policy is now a baseline requirement. The same access model cannot safely govern users, vendors, bots, and workloads without creating entitlement drift. That separation is the named concept here: the identity governance gap. It describes the gap between centralised login and real control over who or what keeps access. Practitioners should close it with distinct policy, lifecycle, and offboarding rules for NHIs.

From our research:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which shows why identity tooling alone does not equal governance.
• For lifecycle depth, review the NHI Lifecycle Management Guide for provisioning, rotation, and offboarding controls.

What this signals

With 96% of organisations storing secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, the control gap is already operational, not theoretical. Cloud identity services can centralise sign-in, but they do not automatically clean up machine credentials that live elsewhere in the stack.

Identity governance gap: the real problem is the distance between a successful login flow and a defensible access decision. Teams need to watch for platform consolidation that improves convenience while leaving service accounts, tokens, and third-party access under-governed.

If your programme is moving toward more cloud-delivered identity services, build in continuous review of non-human access from the start. The most durable programmes will pair cloud identity with explicit lifecycle control, not assume the provider layer has solved the governance problem for them.

For practitioners

• Map all identity types to separate control paths Inventory workforce users, service accounts, API keys, tokens, certificates, and automation identities, then assign distinct policy and review cycles for each. Do not let machine access inherit human sign-in assumptions.
• Audit entitlement scope beyond authentication controls Verify which identities have standing access, which privileges are inherited through groups or roles, and which permissions remain after project completion. Link that review to access recertification and revocation workflows.
• Tie logs to revocation decisions Make sure identity logs can trigger action, not just reporting. Route authentication anomalies, stale tokens, and over-privileged sessions into a remediation process with defined owners and deadlines.
• Apply lifecycle controls to every NHI credential Set rotation intervals, expiry rules, and offboarding steps for service accounts and API keys. Include third-party integrations and automation accounts in the same governance baseline as workforce access.

Key takeaways

• IDaaS simplifies access delivery, but it also concentrates trust in a third-party identity control plane.
• Non-human identities do not fit cleanly into human-centric IAM workflows, which is where governance gaps emerge.
• The practical response is separate lifecycle control for NHIs, not broader reliance on SSO and MFA alone.

Key terms

• Identity as a Service: Identity as a Service is a cloud-delivered model for authentication and access management. It centralises functions such as sign-on, policy enforcement, logging, and provisioning, but it does not remove the need for ownership, review, and offboarding discipline across all identities.
• Non-Human Identity: A non-human identity is any machine or software identity that can authenticate and act in a system. That includes service accounts, API keys, tokens, certificates, bots, and AI agents. These identities need lifecycle governance because they often outlive the task they were created for.
• Identity governance gap: The identity governance gap is the difference between having a login system and having real control over access over time. It appears when authentication is centralised but privilege scope, credential lifecycle, and revocation are still handled inconsistently, especially for non-human identities.
• Standing privilege: Standing privilege is access that remains continuously available rather than being granted only when needed. In cloud identity environments, standing privilege increases blast radius because a compromised credential or over-permissioned account can be reused without an additional approval step.

Deepen your knowledge

Identity as a Service and NHI lifecycle governance are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building identity controls across humans and machine access, it is worth exploring.

This post draws on content published by StrongDM: What is Identity as a Service (IDaaS)? All You Need to Know. Read the original.