Service account sprawl is outpacing traditional IAM governance

At a glance

What this is: This analysis argues that service accounts have become the largest unmanaged identity class in many enterprises, with static credentials and over-privilege driving persistent governance gaps.

Why it matters: IAM and NHI teams need machine-identity controls that match the scale, speed, and autonomy of service accounts before those accounts become durable attack paths.

By the numbers:

• CyberArk’s 2025 Identity Security Landscape found 82 machine identities for every human, with 42 percent carrying privileged access.
• GitGuardian’s 2026 report found roughly 29 million secrets detected on public GitHub in 2025.
• Only 5.7 percent of organizations in Osterman Research’s 2023 study could accurately inventory all their service accounts.

👉 Read Aembit’s analysis of service account sprawl and governance risk

Context

Service accounts are machine identities used by applications, pipelines, and integrations to authenticate and access resources. They become a governance problem when they are created faster than teams can track ownership, scope, and retirement, which is exactly how NHI sprawl turns into persistent risk.

The article frames a familiar but still under-controlled pattern: static credentials, broad permissions, and weak offboarding create identities that sit outside human IAM processes. That is not an edge case for modern automation. It is the operating model most enterprises still rely on, which is why service-account governance now sits at the center of NHI management.

Key questions

Q: How should security teams govern service accounts at enterprise scale?

A: Security teams should govern service accounts through automated discovery, ownership mapping, scoped permissions, and retirement controls. The priority is to remove manual dependency on managers and ticket queues, because machine identities move faster than human review processes. Governance works only when inventory, access policy, and offboarding are tied to runtime systems.

Q: When does a service account become a higher risk than a human user?

A: A service account becomes higher risk when it has broad, persistent access and no clear owner. That combination makes compromise harder to detect and harder to contain than a human account with MFA, review cycles, and stronger behavioural expectations. The danger grows when the same credential is reused across environments.

Q: What is the difference between human IAM controls and service-account governance?

A: Human IAM is built around people, approvals, and periodic reviews. Service-account governance must be built around workload identity, lifecycle automation, and runtime policy enforcement. The difference matters because machines do not follow employee workflows, so controls that depend on managers or annual access reviews leave large gaps.

Q: Why do long-lived secrets create more risk for NHIs than password reuse does for people?

A: Long-lived secrets are easier to copy, harder to inventory, and often valid across systems for long periods. That gives attackers durable access if one secret is exposed. For NHIs, the risk is amplified because automation can use the same token at scale without human friction or challenge.

Technical breakdown

Why service accounts escape human IAM workflows

Human IAM assumes a requester, a manager, a periodic review, and a retirement path. Service accounts break that model because they are created by developers or automation systems, not employees, and they often outlive the service they support. In cloud and DevOps environments, the same identity may be copied across pipelines, clusters, and SaaS integrations without a shared ownership record. Once that happens, entitlement reviews become unreliable because nobody can prove why the identity still exists or what it should access.

Practical implication: Treat service-account lifecycle as an automated control plane problem, not a manual access-review task.

How long-lived secrets and shared credentials expand the blast radius

Service accounts often authenticate with static secrets, API keys, or tokens that can be embedded in code, CI/CD variables, or container images. A secret that never expires gives attackers durable access if it is exposed, and a shared credential makes attribution and containment much harder because multiple workloads can use the same token. This is why long-lived secrets are not just a leakage issue. They are a blast-radius issue that turns one compromise into many.

Practical implication: Replace shared static secrets with short-lived, identity-bound credentials wherever the platform allows it.

Why over-privileged workloads defeat anomaly detection

Machine identities can generate high-volume, 24-hour traffic that looks abnormal only if you compare it to human behavior. That is a bad baseline. Security teams need workload-specific baselines and policy checks that understand which APIs, databases, or clusters a service account should reach. Without that context, SIEM and UEBA tools either generate noise or miss the compromise entirely. The failure is architectural, not just operational, because the identity layer lacks scope enforcement.

Practical implication: Build detection around workload intent and permission boundaries, not generic login anomalies.

Threat narrative

Attacker objective: The attacker wants durable, low-friction access to production systems through a machine identity that security teams are unlikely to notice quickly.

1. Entry begins when attackers find hardcoded service-account credentials in code repositories, CI/CD pipelines, or environment variables.
2. Escalation follows when the compromised identity has broad permissions, allowing the attacker to query data, alter infrastructure, or pivot into adjacent systems.
3. Impact occurs when the attacker uses persistent machine access to maintain footholds, move laterally, and extend control beyond the original workload.

Breaches seen in the wild

• Reviewdog GitHub Action supply chain attack — reviewdog/action-setup GitHub Action supply chain attack exposed secrets.
• CI/CD pipeline exploitation case study — full server takeover via exposed .git directory and mismanaged CI/CD pipeline secrets.

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

NHI Mgmt Group analysis

Service-account sprawl is the original NHI governance problem. Enterprises often talk about AI agents as the next frontier, but the larger and more immediate exposure is still the service account estate already embedded in pipelines, microservices, and SaaS integrations. These identities are created faster than they are inventoried, reviewed, and retired. That makes ownership and lifecycle discipline the first real test of NHI governance.

Long-lived secrets create trust debt that traditional IAM cannot repay. A secret that sits in code, a pipeline variable, or a shared vault is not just a credential. It is deferred risk. The longer the credential lives, the more places it spreads and the harder it becomes to prove who used it. Practitioners should treat secret longevity as a control failure, not a storage inconvenience.

Identity blast radius is the metric that matters when service accounts are over-privileged. The practical question is not whether a service account exists. It is how far one compromise can travel before policy stops it. Least privilege, workload-specific baselines, and just-in-time access reduce that blast radius only when they are enforced continuously, not during annual reviews.

Automation is now a governance requirement, not a maturity goal. Manual review processes were designed for people and break down at machine scale. Discovery, ownership assignment, rotation, and offboarding must be tied to runtime policy if security teams want to keep pace with cloud and DevOps churn. The field should stop treating machine identity governance as an extension of human IAM and start treating it as its own operating discipline.

OWASP NHI-1, NHI-5, and NHI-7 describe the same failure mode from different angles. Improper offboarding, over-privileged identities, and long-lived secrets reinforce one another in service-account environments. Practitioners should view them as a linked control set, because fixing only one leaves the others intact.

From our research:

• 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
• Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared with nearly 1 in 4 for securing human identities.
• For a broader control baseline, review Ultimate Guide to NHIs alongside your service-account inventory and lifecycle process.

What this signals

Service-account governance will increasingly converge with third-party access governance. As more workloads authenticate through SaaS and cloud integrations, the boundary between internal service accounts and external OAuth-connected identities keeps blurring. Teams should expect inventory work to expand beyond core infrastructure and into delegated access chains, especially where vendor-managed automation touches sensitive systems.

Identity blast radius will become the more useful design metric than raw identity count. A small number of over-privileged service accounts can create more risk than a much larger low-scope estate, so practitioners should focus on permission depth, credential age, and cross-environment reuse. The governance programme that measures reach, not just volume, will be easier to defend and audit.

The control pattern is clear: continuous discovery, runtime authorization, and short-lived credentials need to sit beside each other. Where those controls do not exist yet, teams should align their operating model with the NIST Cybersecurity Framework 2.0 and use it to structure ownership, monitoring, and response for machine identities.

For practitioners

• Implement automated service-account discovery Inventory identities across AWS, Azure, GCP, Kubernetes, CI/CD, and SaaS systems, then assign an owner and purpose to each one. Use discovery to identify accounts with no clear retirement path or business justification.
• Replace static secrets with short-lived credentials Move pipelines and workloads toward workload identity federation or other runtime-brokered access patterns so credentials expire after use. Prioritise environments where secrets are embedded in code, container images, or build variables.
• Enforce least privilege at the workload layer Map each service account to the exact data stores, APIs, and clusters it needs, then remove inherited admin rights and copied policies. Revalidate access after deployments, service changes, and ownership changes.
• Baseline machine behaviour separately from humans Tune monitoring to understand normal service-account call volume, source systems, and task patterns before alerting. Alert only when a workload reaches unexpected resources, changes identity context, or deviates from its known runtime path.

Key takeaways

• Service accounts are a machine-identity problem first and an access-review problem second.
• Static secrets and broad permissions turn ordinary automation into persistent attack surface.
• Continuous discovery, scoped access, and automated retirement are now baseline controls for NHI governance.

Key terms

• Service Account: A service account is a non-human identity used by software, pipelines, or integrations to authenticate and access resources. It is meant to represent a workload, not a person, which means lifecycle, ownership, and privilege controls must be automated rather than handled through human approval workflows.
• Long-Lived Secret: A long-lived secret is a credential, token, API key, or certificate that remains valid for an extended period without frequent renewal. In NHI environments, it creates durable exposure because one leaked secret can keep granting access long after the original use case has changed.
• Identity Blast Radius: Identity blast radius is the amount of damage a single identity can cause if it is compromised or misused. For service accounts, it is determined by privilege scope, reuse across systems, and how quickly access can be revoked or expired.
• Workload Identity Federation: Workload identity federation is a pattern that lets a workload prove its identity and receive short-lived access without storing static credentials. It reduces secret sprawl and makes access more controllable because authentication is tied to runtime trust rather than embedded keys.

Deepen your knowledge

Service-account discovery, rotation, and runtime authorization are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building controls for machine identities that already outnumber users, it is worth exploring.

This post draws on content published by Aembit: The Real Risk Behind Service Accounts (And Why Nobody’s Watching Them). Read the original.