Securing non-human identities: the risks of NHI sprawl

At a glance

What this is: This is a follow-up analysis of NHI security risks, arguing that machine credentials, automation, and distributed environments create distinct exposure points across the stack.

Why it matters: IAM and NHI practitioners need to treat NHIs as governed identities with lifecycle, privilege, and monitoring controls, not as background plumbing.

By the numbers:

• According to Deloitte, almost 30% of organizations have accidentally posted critical tokens or secrets to public platforms at least once.
• Gartner cautions that by 2026, 75% of DevOps teams will be directly targeted with supply chain attacks.
• The 2024 PwC IoT Security Survey notes that 35% of companies reported an IoT-related intrusion in the past year.

👉 Read Unosecur's analysis of NHI security risks and mitigation priorities

Context

Non-human identities are the machine credentials that let software, services, APIs, containers, and devices authenticate without a person typing a password. In NHI governance, the problem is not that automation exists, but that these identities often live longer, move faster, and receive less oversight than human accounts.

The article frames the issue as a security gap created by distributed infrastructure, inconsistent IAM policy, and weak credential lifecycle control. That is a familiar pattern in NHI security, where the control plane is fragmented across cloud, on-premises, CI/CD, and edge environments, leaving blind spots that traditional identity processes do not close.

Key questions

Q: How should organisations govern non-human identities across cloud and on-premises systems?

A: Treat every non-human identity as a governed asset with an owner, purpose, privilege boundary, rotation schedule, and retirement trigger. The main failure mode is fragmentation, so the control model must span cloud, on-premises, CI/CD, and edge environments instead of leaving each team to invent its own rules.

Q: When does credential rotation meaningfully reduce NHI risk?

A: Rotation reduces risk when credentials are short-lived, tightly scoped, and actually retired after use. It is not enough by itself if the identity is overprivileged, poorly monitored, or reused across too many systems. Rotation is a containment measure, not a substitute for least privilege and telemetry.

Q: What is the difference between human identity governance and NHI governance?

A: Human identity governance centres on people, approvals, and periodic access reviews. NHI governance must also control machine lifecycle, automation context, secret distribution, and machine-to-machine usage patterns. The difference is that NHIs can scale and propagate faster, so control has to be continuous rather than mostly periodic.

Q: Why do service accounts and API keys create more hidden risk than user accounts?

A: Service accounts and API keys often lack visible user behaviour, expire late, and accumulate permissions as automation grows. That makes misuse harder to notice and harder to contain. A compromise can remain quiet for a long time because the access pattern looks like normal system activity.

Technical breakdown

Why NHI credential lifecycle breaks down in distributed systems

NHI security fails when credentials are created for automation but managed as if they were static exceptions. Service accounts, API keys, OAuth tokens, and container identities often have different rotation rules, owners, and monitoring paths, which makes revocation slow and incomplete. In distributed systems, the challenge is not only issuing credentials, but tracking where they are used, whether they are still needed, and how their privilege changes over time. Without lifecycle discipline, the same credential can outlive the workload it was meant to support.

Practical implication: Map each NHI to an owner, a purpose, a rotation policy, and a retirement trigger.

How privilege escalation happens through machine identities

Machine identities become escalation paths when access is granted broadly to avoid automation failures. A single leaked token or overprivileged service account can allow an attacker to move from one application to another, alter infrastructure, or reach data stores that were never intended for that credential. This is especially dangerous in hybrid estates, where the same identity may be trusted across multiple environments. The core issue is not authentication alone, but the scope of what the identity can do after authentication succeeds.

Practical implication: Apply least privilege to every NHI and review entitlements for lateral movement potential.

Why monitoring machine traffic requires different detection logic

NHI activity rarely looks like human sign-in behaviour, so conventional identity monitoring can miss misuse. Automated workloads generate repetitive, high-volume, and often scheduled patterns that can hide anomalies unless detection is tuned to the workload's normal cadence. Logging also matters more than many teams assume, because credential abuse often appears first as unusual API calls, unexpected geography, or changes in access patterns rather than a failed login. If telemetry is shallow, the attacker gets a longer dwell time.

Practical implication: Build detections around machine-to-machine behaviour, not human authentication assumptions.

Threat narrative

Attacker objective: The attacker wants to turn a trusted automation credential into silent, repeatable access that can reach multiple systems without triggering human-facing controls.

1. Entry typically starts with exposed API tokens, hardcoded credentials, or weakly protected service accounts in code repositories, logs, or public platforms.
2. Escalation follows when the compromised identity has broader permissions than the workload actually needs, allowing access to cloud services, deployment systems, or internal data paths.
3. Impact occurs when the attacker uses that trusted machine identity to alter systems, exfiltrate data, or push malicious changes through automated pipelines.

Breaches seen in the wild

• MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

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

NHI Mgmt Group analysis

NHI sprawl is now a governance problem, not just an inventory problem. The article correctly shows that NHIs exist across applications, service accounts, clouds, containers, pipelines, and edge devices. That breadth matters because every new credential type adds another lifecycle model, another owner, and another place where policy can drift. Practitioners should treat discovery as the starting point, not the control objective.

Ephemeral access does not remove trust debt if the underlying identity model is weak. Short-lived tokens and container identities reduce exposure windows, but only when issuance, scoping, and revocation are precise. If privileges remain broad or if monitoring cannot confirm who used the token, the organisation has simply compressed the same risk into a shorter timeframe. The control question is whether the access was necessary at all.

Machine identity security fails first at the seams between teams. Cloud, DevOps, infrastructure, and security teams often manage different credential classes with different tooling and assumptions. That creates policy inconsistency, and policy inconsistency creates blind spots. The practical conclusion is that NHI governance has to be cross-functional or it will remain incomplete.

Credential rotation is necessary, but it is not sufficient on its own. Rotation helps reduce the window for token theft, yet the article also points to overprivilege, poor monitoring, and poor integration with orchestration tools. Those issues mean teams should measure not just whether secrets rotate, but whether access is bounded, observable, and removable when the workload changes.

Identity blast radius is the right mental model for NHI risk. A compromised machine identity should be evaluated by how far it can propagate through cloud, CI/CD, and internal services, not by whether authentication was technically successful. The field needs to move from account-centric thinking to blast-radius thinking. Practitioners should design controls around containment, not convenience.

From our research:

• Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities, according to The State of Non-Human Identity Security.
• A separate finding shows that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which is a governance gap that compounds machine identity sprawl.
• For a broader view of where identity programmes typically break down, see Top 10 NHI Issues for the controls teams most often miss.

What this signals

Ephemeral credential trust debt: even short-lived machine credentials create residual risk when ownership, scope, and revocation are not explicit. The reader should expect pressure to prove that each identity is necessary, time-bound, and observable from issuance to deletion.

The programme-level shift is toward continuous NHI governance rather than periodic cleanup. Teams that can correlate secrets, workload identity, and access telemetry will be better positioned to shrink blast radius before attackers turn machine trust into lateral movement.

For practitioners

• Define an owner for every NHI Assign a business or engineering owner to each service account, API key, token, certificate, and workload identity so no credential exists without accountability. Use that ownership to drive review, rotation, and retirement decisions.
• Enforce rotation and retirement policies Set rotation schedules based on credential type and usage, then revoke identities immediately when a workload is decommissioned or a pipeline is replaced. Pair rotation with proof that the credential is no longer active in logs and access records.
• Reduce overprivilege in machine accounts Review permissions for application, cloud, and pipeline identities against actual task requirements, then remove broad rights that were granted for convenience. Focus on reducing the blast radius of a single compromised token.
• Tune monitoring for machine behaviour Create detections for unusual API call volume, unexpected source locations, privilege changes, and access outside normal workload cadence. Machine traffic is structured differently from human traffic, so the alerting model has to be different too.
• Unify identity governance across environments Bring cloud, on-premises, CI/CD, and edge identities into one governance model with shared lifecycle rules, review cadence, and escalation paths. Consistency matters more than tool count when the attack path crosses multiple environments.

Key takeaways

• Non-human identities expand automation, but they also multiply the places where access can fail, persist, or be abused.
• The practical risk is less about one secret and more about how many systems that secret can quietly reach.
• Security teams need lifecycle ownership, privilege reduction, and machine-aware telemetry before NHI sprawl becomes unmanageable.

Key terms

• Non-Human Identity: A non-human identity is a machine credential used by software, services, workloads, or devices to authenticate and act without a person present. It can be a service account, token, API key, certificate, or agent identity, and it needs lifecycle, privilege, and monitoring controls just like a human account.
• Identity Blast Radius: Identity blast radius is the amount of damage a compromised identity can cause before it is detected or revoked. In NHI governance, it is shaped by privilege scope, credential lifetime, environment reach, and how many downstream systems trust that identity by default.
• Credential Lifecycle: Credential lifecycle is the full path of a secret or identity from creation to rotation, revocation, and retirement. For NHIs, lifecycle management matters because credentials are often embedded in automation, reused across systems, and forgotten long after the workload that needed them has changed.

What's in the full article

Unosecur's full blog covers the operational detail this post intentionally leaves for the source:

• Step-by-step examples of the main NHI types and where they appear across hybrid infrastructure
• Specific breach patterns tied to A2A identities, service accounts, cloud keys, containers, CI/CD, and IoT devices
• Detailed mitigation guidance on logging, credential management, and cross-environment identity governance
• The article's own examples of how hybrid teams can map control gaps to concrete identity classes

👉 Unosecur's full blog breaks down the risk patterns by identity type and environment.

Deepen your knowledge

NHI lifecycle governance, credential rotation, and machine identity monitoring are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If your programme is still building the basics for service accounts, tokens, and workload identities, it is worth exploring.