Non-Human Identity (NHI) Security: The 2026 Guide
For twenty years, identity security was built around people. But the identities that log in, hold permissions, and move data today are mostly not people. They are service accounts, API keys, OAuth apps, certificates, workloads, bots, and now AI agents. Collectively these are non-human identities (NHIs), and they have become the fastest-growing and least-governed part of the attack surface.
The scale of the problem
Non-human identities now outnumber humans dramatically. CyberArk reports machine identities outnumber people by more than 80 to 1, and cloud-native estimates run higher still. The growth is compounding as organizations adopt more SaaS, more automation, and more AI.
The governance has not kept pace. In the Cloud Security Alliance's State of Non-Human Identity and AI Security research, only a small minority of organizations feel confident in their ability to prevent NHI-based attacks, and a meaningful share do not even track the creation of AI-related identities. The result is a large population of powerful accounts that no one clearly owns.
For the sourced numbers, see our research page and the secrets sprawl data.
What counts as a non-human identity
NHIs are not one thing. The common types, each with a different lifecycle and risk profile:
- Service accounts used by applications and automation. Often long-lived and over-privileged. See securing service accounts.
- API keys and tokens that authenticate one service to another, and leak easily into code and logs.
- OAuth apps and third-party integrations granted broad scopes into your SaaS, a fast-growing and often invisible category.
- Certificates and cryptographic keys that identify machines and workloads. See certificate lifecycle management.
- Workloads (containers, functions, VMs) that need runtime identity. See workload identity 101.
- Bots and RPA that automate business processes with standing credentials.
- AI agents that act autonomously on a user's behalf, the newest and most dynamic category.
The pain points
Five problems recur across almost every NHI program:
- Sprawl and no inventory. You cannot govern what you cannot see, and most organizations have no complete inventory of their NHIs across cloud, SaaS, and on-premises.
- Over-privilege and standing access. NHIs are typically granted broad permissions that never expire, so a single leaked credential can reach far.
- No ownership. When no person owns an NHI, no one rotates its secret, reviews its access, or decommissions it when the workload is gone.
- Secret leakage. Keys and tokens end up in source code, CI logs, and config files. Leaked secrets are a leading root cause of cloud breaches, and many stay valid long after exposure.
- No lifecycle. Human identities have joiner-mover-leaver processes. Most NHIs have none, so orphaned accounts accumulate indefinitely.
Use cases: where NHI security pays off
- Cloud and Kubernetes. Replacing long-lived keys with short-lived, workload-bound credentials. See the Kubernetes identity security guide.
- CI/CD pipelines. Removing static secrets from build systems in favor of just-in-time, scoped credentials.
- SaaS-to-SaaS integrations. Discovering and right-sizing the OAuth apps connected to your Google, Microsoft, and Salesforce tenants.
- Third-party and vendor access. Governing the machine credentials partners use into your systems.
- AI agents. Giving autonomous agents scoped, delegated, revocable identities instead of shared service accounts.
How to secure non-human identities
A practical program runs in this order:
- Discover and inventory. Find every NHI across environments and map what each can access.
- Assign ownership. Every NHI gets a human or team accountable for it.
- Right-size access. Remove standing privileges, apply least privilege, and prefer just-in-time access. See just-in-time access tools.
- Move to short-lived credentials. Replace static keys with rotating secrets and workload identity wherever possible. Vault and rotate the rest with secrets management and the top secrets tools.
- Monitor behavior. Detect anomalous NHI activity, the same way you watch human accounts, with identity threat detection.
- Govern the lifecycle. Certify NHI access periodically and decommission accounts when the workload ends.
The vendor landscape
The tooling spans several categories. Secrets management platforms vault and rotate credentials; machine identity and workload identity tools (including the SPIFFE/SPIRE standard) handle the cryptographic layer; and a newer category of NHI governance and posture management focuses specifically on discovery, ownership, and least privilege for non-human identities. Consolidation is rapid: traditional IAM, PAM, and IGA vendors are racing to add NHI capabilities, and 2026 has already seen major acquisitions in the space.
For a scored shortlist, see best machine identity for enterprises and the top machine identity management platforms.
The bottom line
Non-human identities are now the majority of your identities and the softest part of your attack surface. The organizations that get ahead of this treat NHIs as first-class identities: discovered, owned, least-privileged, short-lived, monitored, and governed for their whole lifecycle. Start with discovery, because everything else depends on knowing what you have. Then read our companion guide on the fastest-moving corner of this problem, securing AI agent identities.
Frequently asked questions
- What is a non-human identity (NHI)?
- A non-human identity is any identity that is not a person: service accounts, API keys, OAuth tokens and apps, certificates, workloads, bots, and increasingly AI agents. NHIs authenticate to systems and hold permissions just like users do, but they are created and used by software rather than people.
- Why are non-human identities a security problem?
- NHIs now outnumber human identities many times over, they are often over-privileged with standing access, they rarely use MFA, their credentials seldom rotate, and most have no clear owner or lifecycle. That combination makes them a large, poorly governed, and frequently exploited attack surface.
- What is the difference between machine identity and non-human identity?
- Machine identity usually refers to the cryptographic identity of machines and workloads (certificates, keys, workload identity). Non-human identity is the broader umbrella that also includes service accounts, API keys, OAuth apps and tokens, bots, and AI agents. NHI is the term the market has converged on for the whole category.
- How do you secure non-human identities?
- Discover and inventory every NHI, assign an owner, remove standing privileges and apply least privilege, vault and rotate secrets or move to short-lived credentials and workload identity, monitor for anomalous behavior, and govern the full lifecycle including offboarding. Treat NHIs with the same rigor you apply to human accounts.
- How do AI agents change non-human identity security?
- AI agents act autonomously on behalf of users, acquire permissions at runtime, call external APIs, and chain actions across many systems. They magnify existing NHI risks around visibility, ownership, and credential lifecycle, and they need identities that are scoped per task, delegated from a user, fully auditable, and instantly revocable.