- A non-human identity (NHI) is any digital identity assigned to software, such as an application, script, or AI agent, rather than to a person.
- Non-human identities now outnumber human identities in most enterprise environments, expanding the attack surface far beyond traditional user accounts.
- NHIs typically hold standing privileges and rarely get reviewed, which makes them a preferred target for attackers seeking quiet, long-term access.
- Securing an NHI is not just an access problem: once compromised, an NHI can read, copy, or move whatever data it is entitled to touch.
- Effective non-human identity management requires continuous discovery, least-privilege enforcement, and visibility into what each identity actually does with data.
What Is a Non-Human Identity (NHI)?
A non-human identity (NHI) is a digital identity assigned to software, such as an application, script, service, or AI agent, so it can authenticate to systems and access data without a person logging in.
NHIs prove who they are with secrets like API keys, tokens, or certificates instead of a username and password. Organizations rely on them to connect applications, automate workflows, and let cloud services and AI agents exchange data with minimal human involvement. Because an NHI rarely logs off or changes roles the way an employee does, it can go unreviewed for months or years after it stops serving a legitimate purpose.
The term has grown alongside cloud adoption and automation. A decade ago, most non-human access ran through a handful of service accounts. Today, containers, microservices, CI/CD pipelines, SaaS integrations, and AI agents each spin up their own identities, often automatically and without a documented owner. Security teams that built their identity programs around human users are now managing an environment where non-human identities make up the majority of accounts.
How Non-Human Identities Work
A non-human identity works by authenticating with a secret and then acting within whatever permissions that secret unlocks, with no person confirming the action in real time. The lifecycle generally follows three stages:
- Creation and assignment: A developer, cloud platform, or automation tool provisions the identity and assigns it a secret (an API key, OAuth token, service account credential, or certificate) along with a set of permissions.
- Authentication and access: The NHI presents its secret to the target system, which verifies it and grants access to specific resources, such as a database, storage bucket, or another API.
- Ongoing operation: The NHI performs its function, whether that is moving data between systems, triggering a workflow, or responding to another service's request, repeating this cycle continuously and often at high volume.
Because this cycle runs without human oversight, an NHI's permissions tend to accumulate rather than shrink. A service account created for one project frequently keeps its access long after that project ends, and a compromised secret lets an attacker repeat the same authenticate-and-act cycle undetected.
Types of Non-Human Identities
Non-human identities take several forms, each created and managed differently. The table below outlines the most common examples of non-human identities found in enterprise environments.
Secrets sprawl, a common byproduct of these identity types, occurs when the credentials behind them (keys, tokens, certificates) get copied into code repositories, configuration files, or chat tools instead of a managed vault.
Non-Human Identity vs. Machine Identity
Non-human identity and machine identity are related but not interchangeable terms, and the distinction matters when scoping a security program.
In short, every machine identity is a non-human identity, but not every non-human identity is a machine identity. A service account that accesses a database with a username-style credential is an NHI but not a machine identity in the strict certificate-based sense.
Why Non-Human Identities Matter for Data Security
When non-human identities go unmanaged, organizations lose track of exactly which systems and services can read, copy, or move their sensitive data. An NHI with excessive or forgotten permissions is not just an access risk, it is a direct path to the organization's most sensitive information, because the identity's permissions define what data it can touch.
This risk compounds with the rise of AI agents. An agent built to summarize customer records or pull data into a workflow can be granted access that outlives its intended purpose or gets reused for a task nobody reviewed. Traditional data loss prevention (DLP) and access control tools were built around human behavior patterns, such as login times and typical file access, so they often miss the machine-speed, always-on activity of a compromised or over-permissioned NHI. Non-human identity risk also has a direct compliance dimension: regulations that require organizations to know where sensitive data lives and who, or what, can access it (GDPR, HIPAA, SOC 2) apply just as much to a service account as to a human employee.
Common Challenges in Managing Non-Human Identities
- Lack of visibility: Most organizations cannot produce a complete inventory of every non-human identity across their cloud, on-premises, and SaaS environments, so orphaned accounts persist unnoticed.
- No clear ownership: Unlike a human employee, an NHI is rarely tied to a specific accountable owner, so nobody notices when it should be reviewed or decommissioned.
- Secrets sprawl: API keys and tokens get hard-coded into repositories or configuration files, making them easy for an attacker to find and hard for a security team to rotate.
- Standing privileges: Many organizations assume automated access is inherently lower risk than human access, but in practice NHIs often accumulate entitlement creep, ending up with broader, longer-lived permissions than the employees who created them.
- AI agent sprawl: Agentic AI tools can create sub-agents or request new permissions dynamically, outpacing manual identity and access management (IAM) processes built for a slower human onboarding cycle.
How to Secure and Manage Non-Human Identities
- Discover and inventory every NHI
Continuously scan cloud, on-premises, and SaaS environments for service accounts, workload identities, machine identities, and AI agents, since non-human identity discovery is the prerequisite for every other control. - Assign ownership
Require every NHI to have a documented owner, whether a person or a team, responsible for its purpose and lifecycle. - Enforce least privilege
Audit existing permissions and remove standing access that is not actively required, then apply just-in-time access for tasks that need elevated permissions temporarily. - Centralize secrets management
Store API keys, tokens, and certificates in a managed vault rather than in code or configuration files, and rotate them on a regular schedule. - Monitor what each NHI does with data, not just whether it authenticated
Logging a successful login is not enough; security teams need visibility into what data an NHI actually reads, copies, or moves once it is inside a system. - Decommission on a schedule
Tie every NHI's lifecycle to the system or project it supports, and automatically flag or revoke identities tied to retired services.
How Cyberhaven Addresses Non-Human Identity Risk
Cyberhaven addresses non-human identity risk through a unified data security platform that combines data discovery, classification, and lineage tracking to show not just which NHIs exist, but what they actually do with sensitive data. Unlike tools that treat NHI security as a pure access management problem, Cyberhaven's platform ties every non-human identity's activity back to the specific data it touches, giving security teams a way to prioritize the identities that pose real data exposure risk rather than reviewing every service account equally.
Cyberhaven's DSPM capability continuously discovers where sensitive data lives and which identities, human and non-human, can reach it, closing the visibility gap that lets orphaned service accounts and over-permissioned AI agents go unnoticed. Data Lineage traces how data moves once an NHI accesses it, so security teams can see the full path from an API call or automated workflow to wherever that data ends up. For organizations adopting agentic AI, AI Security extends this same data-centric visibility to AI agents, flagging when an agent's access to sensitive data falls outside its intended task.
Frequently Asked Questions
What Is a Non-Human Identity (NHI)?
A non-human identity (NHI) is a digital identity assigned to software, such as an application, script, service account, or AI agent, instead of a person. It authenticates using secrets like API keys, tokens, or certificates and lets systems communicate and access data automatically, without a human logging in for each action.
What Is an Example of a Non-Human Identity?
Common examples of non-human identities include a service account that lets a web application query a database, an API key used by one cloud service to call another, a CI/CD pipeline account that deploys code, and an AI agent that pulls records from a system to complete a task on a person's behalf.
What Is the Difference Between a Non-Human Identity and a Machine Identity?
Non-human identity is the broader category, covering any identity assigned to software rather than a person, including service accounts and AI agents. Machine identity is a subset of NHI that refers specifically to certificates and cryptographic keys used to authenticate devices, servers, or encrypted connections such as TLS.
Why Are Non-Human Identities Considered a Data Security Risk?
Non-human identities are considered a data security risk because they typically hold standing, unreviewed permissions and operate at machine speed, well outside the login patterns that traditional monitoring tools are tuned to catch. Once compromised, an NHI gives an attacker direct access to whatever sensitive data its permissions allow it to reach.
How Do Organizations Manage Non-Human Identities at Scale?
Organizations manage non-human identities at scale by continuously discovering every service account, workload identity, and AI agent across their environment, assigning clear ownership, enforcing least-privilege access, and vaulting secrets instead of storing them in code. Ongoing monitoring of what each identity does with data, not just whether it authenticated, closes the remaining visibility gap.
What Is Non-Human Identity Management?
Non-human identity management is the discipline of discovering, governing, and securing every identity assigned to software rather than a person. It includes assigning ownership, rotating credentials, enforcing least-privilege access, and decommissioning identities once the system or project they support is retired.
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