Non-Human Identity: Security Best Practices

Key takeaways

• Non-human identities now outnumber human identities by a wide margin in most enterprises, so treat them as their own risk category with a named owner, not a side effect of human IAM.
• The dangerous pattern is a credential that is standing, over-privileged, unrotated, and owned by no one.
• AI agents break assumptions built for human identity. They inherit permissions, call tools at machine speed, and chain actions across systems in ways no human workflow does.
• Moving from standing, broad credentials to just-in-time, scoped access closes the single biggest source of blast radius when an identity is compromised.
• A unified framework that governs humans and agents under one policy and one audit trail beats bolting a point NHI tool onto an identity stack built only for people.
• Start with a full inventory, pilot just-in-time access on one high-risk credential class, and name an owner for agent identity, all within 90 days.

Every enterprise now runs on identities that never log in, never take a break, and never show up in an org chart. API keys, service accounts, CI/CD tokens, and now AI agents all reach into production systems with credentials that were often issued once and never reviewed again. Most identity programs still assume a person is on the other end of every session, so these non-human identities pile up in the blind spots between IAM, PAM, and DevOps tooling.

Non-human identity security means building a full inventory of every service account, key, and agent, replacing standing privilege with scoped and time-boxed access, and extending governance to what these identities do, as well as the credentials they hold. That shift matters more now because AI agents multiply the number of non-human actors and the speed at which they act. The rest of this piece walks through why the risk grew so fast, the patterns worth fixing first, how agents change the calculus, and a practical sequence for closing the exposure over the next 90 days.

Why non-human identity became a security priority

For most of the last decade, identity and access management meant managing people: employees, contractors, and the occasional service account someone remembered to document. That math has flipped. Research citing Rubrik Zero Labs puts the ratio of non-human to human identities at roughly 45:1 in the modern enterprise, per The Hacker News, with cloud-native and DevOps environments running even higher. The same coverage found two-thirds of enterprises have already suffered a breach tied to a compromised non-human identity.

The architecture that got us here was never built for this volume. Zero trust and network access models were designed around verifying a person at login. That assumption explains why SASE can't keep up with AI: the perimeter and session models built for a human browsing the web say little about a service account or an agent making thousands of calls after that single login event. Most security stacks weren't designed for an environment where the majority of credentials belong to machines, which is exactly why non-human identity needs its own line item in the security program. Once a team accepts that its NHI footprint is larger than its headcount, the next move is to stop treating these identities as an IAM afterthought and start treating them as a distinct, measurable risk category with an owner.

The core risks: overprivileged, orphaned, and unrotated credentials

Three patterns show up again and again in enterprise environments, and all three are fixable with the same basic discipline. Credentials become orphaned when the project, script, or employee that created them moves on and no team revokes access. They become over-privileged when a team grants broad permissions to get something working quickly and never narrows the scope afterward. And they become stale when rotation policies exist on paper but no one enforces them in practice: the same Hacker News research found 47% of non-human identities had gone more than a year without a credential rotation.

The OWASP Non-Human Identities Top 10 project gives security teams a standardized way to name and prioritize these risks, including improper offboarding, secret leakage, and overprivileged NHI. The project's own introduction points to Microsoft's Midnight Blizzard breach, where attackers exploited an unmanaged legacy OAuth application, a textbook non-human identity, to reach Microsoft's corporate email systems. That example is a useful gut check: the credential involved was ordinary, simply forgotten. Before building a full governance program, most teams get the fastest return from a first triage pass across these three patterns: pull a list of orphaned credentials, flag accounts with permissions wider than needed, and check rotation dates against policy.

How AI agents change the non-human identity problem

Service accounts and API keys are a known quantity by comparison to the risk AI agents introduce. An agent typically inherits the full permissions of the user or service account that triggered it, unless someone deliberately scopes it down. Once running, it can call tools, read data, and take actions across systems at a speed and volume no human workflow approaches. That combination, inherited privilege plus machine-speed action, is why Island Enterprise AI treats agent identity as its own category rather than an extension of existing service-account tooling.

The scale compounds quickly. While researching agent supply-chain exposure, we scanned nearly 34,000 public MCP servers and found most carried no organizational verification behind them, a reminder that agents routinely connect to tools and data sources your security team hasn't vetted. Enterprises are already expanding governance to the AI workforce for this reason, since a single agent can touch finance systems, customer data, and internal code repositories in one session.

The pattern is consistent with the broader shift toward distributed work: agents work everywhere now, across SaaS apps, internal tools, and third-party integrations, which means governance has to follow them into every one of those surfaces. Teams that get this far should treat agent identity as a distinct line in their NHI inventory, separate from static service accounts, because the risk model and the fix are both different.

Best practices: from standing credentials to just-in-time access

The single highest-leverage change in non-human identity security is replacing standing, always-on credentials with scoped, time-boxed access issued at the moment a task requires it. A vaulted credential that works forever is a liability even when nothing has gone wrong yet, because the blast radius of a compromise scales with how long the access remains valid and how much it can touch. Just-in-time access shrinks both dimensions by design, whether the identity is a CI/CD pipeline, a service account, or an AI agent.

This is also where governing an agent has to go beyond managing its credential. We argue enterprises should govern the action as well as the key, because an agent with a perfectly scoped credential can still take a harmful action if nothing is watching what it does at runtime. Pairing scoped, short-lived credentials with real-time policy enforcement on agent behavior, the approach behind Island AI Protect, closes the opening that credential management alone leaves. For a service account or script, the equivalent move is auditing standing permissions against real usage and converting anything broader than necessary into a scoped, time-limited grant. Either way, the decision in front of most teams is the same: commit to shifting from vaulted, permanent credentials toward access that expires by default.

Building governance that covers humans and agents in one framework

Classic identity and access tools, along with privileged access management, do a good job governing the access path: the identities allowed to authenticate, and the systems it's permitted to touch. They weren't built to answer a newer question: what did this identity do once it had access, and was that action appropriate in the moment? A live picture of every identity requires both layers working together, the access-path governance that PAM and IAM already provide, plus a runtime layer that sees and can intervene in what every human and agent identity does after login.

Building that combined view doesn't require ripping out an existing identity stack. The more practical path is extending it with a control plane for the agentic enterprise that sits across both human and non-human identities, so there's one policy engine and one audit trail instead of separate tools that don't talk to each other at the edges. The same logic applies to network and access controls: the zero trust gains most teams have already made through private access and secure connectivity extend naturally to non-human identities once agent and service-account traffic routes through the same policy layer as human sessions. Most security leaders should extend the identity and access program they already have, not add another point tool, so it covers every identity, human and non-human, under one framework.

Where to start: a practical 90-day roadmap

None of this requires a multi-year program to start showing results. The first 30 days belong to inventory: pull every service account, API key, and agent identity into a single list, tagged by owner, age, and scope, because a program can't prioritize identities it hasn't counted. The next 30 days belong to a pilot: pick one high-risk credential class, often a production service account or an agent with broad tool access, and move it from standing privilege to just-in-time, scoped access, including the underlying identity services that enforce rotation and least privilege day to day.

The final 30 days belong to ownership. Someone on the security team needs to own non-human identity the way someone already owns endpoint or network security, with a mandate that explicitly includes AI agents rather than leaving them to whichever team deployed them first. By the end of 90 days, a team should have a current inventory, one working example of just-in-time access in production, and a named owner accountable for keeping both current as the number of non-human identities keeps growing. That sequence, inventory, pilot, ownership, gives most organizations a defensible starting point without waiting for a perfect, fully built program.

FAQs

What counts as a non-human identity?

Anything that authenticates and acts without a person typing a password at that moment: API keys, service accounts, CI/CD tokens, workload identities, and AI agents. The common thread is that no person sits at a keyboard when the credential is used, so the usual human-centered checks (MFA prompts, session timeouts, a person noticing something's wrong) don't apply the same way.

How is non-human identity security different from privileged access management?

PAM and classic IAM govern the access path: the identities allowed to authenticate and the systems it's permitted to touch. Non-human identity security adds a runtime layer on top of that, one that tracks the actions an identity took once it had access, not merely the actions it was allowed to take. A live picture of every identity needs both layers working together, not a PAM tool alone.

Do AI agents count as non-human identities, and should we govern them the same way as service accounts?

Yes, but not identically. Agents are non-human identities, and they belong in the same inventory. The difference is that an agent typically inherits the full permissions of whoever triggered it and then acts at machine speed across multiple systems, so it needs its own risk category and its own just-in-time access controls rather than being folded into static service-account policy.

What's the first step to build an NHI inventory?

Pull every service account, API key, and agent identity into a single list, tagged by owner, age, and scope. That inventory is the first 30 days of the roadmap above, and it's the step everything else depends on: a team can't prioritize scoped access, rotation, or ownership for identities it hasn't counted yet.

How often should service-account credentials rotate?

Often enough that a compromised credential has a short useful life, which in practice means treating "standing forever" as the failure mode to eliminate rather than chasing a specific rotation number. Research covered by The Hacker News found 47% of non-human identities had gone more than a year without rotation, which is the shortfall most programs should close first, ideally by moving high-risk credentials to just-in-time access instead of relying on rotation schedules alone.

Can we fix non-human identity risk without replacing our existing IAM or PAM stack?

Usually, yes. The more practical path is extending what you already have with a policy layer that covers both human and non-human identities, like a control plane for the agentic enterprise, rather than ripping out IAM and PAM and starting over. The goal is one policy engine and one audit trail, not a second parallel stack just for machines.

What's a reasonable timeline to show progress on non-human identity security?

Ninety days is enough to show real movement: a full inventory in the first 30 days, a just-in-time access pilot on one high-risk credential class in the next 30, and a named owner for non-human and agent identity by day 90. None of those three steps requires a finished, enterprise-wide program before it delivers value.