OWASP Non-Human Identities Top 10

What the OWASP Non-Human Identities Top 10 covers

The OWASP Non-Human Identities Top 10 is a practitioner-oriented risk list for machine identities such as service accounts, workloads, API keys, and tokens. It groups the issues that most often make these identities hard to govern, easy to abuse, or difficult to monitor at scale.

Its value is that it turns a broad problem into a shorter set of security themes: where non-human identities are created, who owns them, how they authenticate, what they can access, and how long they remain valid. That makes it useful both as a briefing tool and as a way to structure an assessment.

Why non-human identity risk is different

Non-human identities behave differently from human accounts because they are embedded in systems, pipelines, applications, and cloud services. They are often created quickly, distributed widely, and granted access to other systems with minimal review. That creates a large surface area for over-permissioning, secret exposure, and account sprawl.

The risk is not just that one identity can be abused. A single leaked token or overly broad service account can unlock automation, data flows, deployment paths, or downstream systems that were assumed to be trusted. In practice, the danger comes from both privilege and persistence, especially when credentials are long-lived or hard to inventory.

Ultimate Guide to NHIs, Key Challenges and Risks is a useful companion reference because it explains the same failure patterns through lifecycle, visibility, and governance problems.

How teams assess exposure

Exposure assessment starts with inventory. Organisations need to know which non-human identities exist, where they run, which systems they touch, who owns them, and whether they are still in use. Without that baseline, it is difficult to distinguish an essential credential from an orphaned or duplicated one.

From there, teams usually check for internet-facing secrets, hardcoded credentials, broad API scopes, unmanaged certificates, stale tokens, and service accounts that have accumulated more access than they need. Vendor documentation and platform-specific guidance matter here because the same identity pattern can be secure in one environment and fragile in another.

Service Account Security Guide helps readers understand the controls behind discovery, least privilege, rotation, and governance for one of the most common NHI types.

NHI Authentication Guide is relevant where the key question is how these identities prove themselves, especially when teams are choosing between keys, certificates, federation, or short-lived tokens.

Controls that reduce the blast radius

The top risks in this space usually shrink when teams reduce credential lifetime, enforce tighter scoping, and separate identities by application, environment, and purpose. Rotation helps, but rotation alone is not enough if the credential remains overpowered or widely reused.

Good practice also includes ownership assignment at creation, explicit decommissioning, dependency mapping before revocation, and monitoring that can tell the difference between expected machine-to-machine activity and abuse. In mature environments, non-human identity governance becomes part of the operational design, not a cleanup task after deployment.

NHI Ownership and Accountability Guide supports the governance side of this work, while Guide to NHI Rotation Challenges is useful where rotation must be made reliable at scale.

Risk and Threat Considerations

Non-human identities are attractive to attackers because they often have durable access, weaker monitoring, and fewer interactive controls than user accounts. If a service account, token, or API key is exposed, the attacker may gain a quiet foothold that survives normal password hygiene and can be reused for lateral movement or data access.

Failure mechanism: Long-lived secrets, overprivileged roles, shared credentials, and poor offboarding create a path where a compromised machine identity remains valid long enough to be exploited repeatedly.

Impact: The result can be unauthorized access to production systems, privilege escalation, pipeline compromise, data exfiltration, or trust abuse across connected services.

Practitioner Guidance

Why practitioners should care: The list is most useful when it shapes a live control programme, not a retrospective audit. Treat it as a prioritisation tool for inventory, ownership, credential lifecycle, and privilege review across all machine identities.

Common misunderstanding: Teams sometimes assume that secrets management alone solves NHI risk. It helps, but the bigger issues are discovery, scope, ownership, and whether the identity can be cleanly retired when the system changes.

Practitioner takeaway: Use the Top 10 to drive a repeatable review cycle for creation, access, rotation, monitoring, and offboarding, because those are the moments when machine identity risk is created or removed.

Related resources from NHI Mgmt Group

• Guide: Top 10 NHI Issues
• Non-Human Identity Access Management
• When do non-human identities pose the greatest risk to organizations?
• What is the first step in managing non-human identities at scale?
• How should security teams govern non-human identities at scale?