Three years ago, an engineer needed to move a database over a weekend. She spun up a service account and gave it broad read/write access, so the migration script wouldn't hit permission errors. The job was done by Monday morning. Eighteen months later, she left the company. The account didn't. It still logs in every night. It still holds the same standing privileges it was given for a two-day job. And nobody currently on the security team could tell you what it actually touches, or whether it's safe to delete.
The orphaned service account isn't an anomaly. It's just one example of a broader class of non-human identities (NHIs)—the digital identities assigned to applications, workloads, services, automated processes and so on. They authenticate using credentials such as API keys, tokens, certificates, and secrets, enabling machine-to-machine interactions without a person behind the keyboard. The default condition of most enterprise environments right now. It has a name: a non-human identity. Service accounts, API keys, tokens, certificates, workload identities, bots, AI agents - these are machines and processes that authenticate and act without a person behind the keyboard. Recent reports state that non-human identities now outnumber human identities by approximately 82 to 1 in enterprise environments. Yet unlike employees, most of these identities are never onboarded, reviewed, or retired with the same level of governance. They already outnumber the human employees on most payrolls. And unlike human employees, almost none of them go through anything resembling onboarding, review, or offboarding.
Meet the Shadow Workforce
Walk through any modern IT environment and you'll find the same pattern, just wearing different disguises.
- Service and system accounts: The ones running background processes for applications, databases, and operating systems. Picking up access quickly and keep it forever, the same way that migration account did.
- Secrets, tokens, and keys: These spread even faster. An API key gets hardcoded into a CI/CD config so a deployment stops failing. It gets copied into two more repos when a new microservice needs the same integration. The original service is eventually retired, but the copies stay behind. One of them can end up sitting in a public repo mirror that nobody remembers forking. Others get reused across development, testing, and production environments, increasing the blast radius if a single credential is ever compromised.
- Workload and compute identities: Kubernetes service accounts, containers, serverless functions etc., bring a different problem. They're often too short-lived to audit. An autoscaling group can spin up hundreds of containers a day. Each one requests temporary credentials. Each one vanishes within minutes.
While the workloads vanish, their credentials may remain valid long enough to be abused if compromised, creating blind spots that many monitoring tools fail to detect in time.
- Certificates and trust identities: They fail quietly instead of loudly. A TLS certificate issued for a test environment years ago can keep getting trusted by production systems, simply because nobody tracked its scope or its expiry.
- DevOps and automation identities: Creeping the same way permissions always creep. A pipeline identity scoped for one deployment stage picks up broader rights every time someone needs to "just get it working."
- Cloud and application identities: Including the SaaS bots now threading through daily operations, often outlive the project that created them. An OAuth grant from a hackathon integration can still read the CRM two years later, simply because nobody ever revisited the list of connected apps. Over time, forgotten third-party integrations like these quietly accumulate, expanding the organization's attack surface without anyone noticing.
Same Root Cause, Six Symptoms
None of these are really six separate problems. They're one problem wearing six outfits: identities get created fast, under deadline pressure, with nobody assigned to own them afterward. That's why NHI incidents tend to share the same fingerprints — no unified visibility into what exists, no clear owner when something needs answering for, excess privilege because nobody scoped it down after the initial rush, long-lived or hardcoded credentials that are rarely rotated, inconsistent authentication practices, improper offboarding that leaves orphaned identities behind, credential reuse across environments, human use of machine identities, and monitoring that was built for human logins, not machine-speed activity.
The Newest Member of the Shadow Workforce: Shadow AI
There's a newer version of this problem showing up fast, and it deserves its own mention: Shadow AI.
It works a lot like shadow IT did a decade ago, just faster and harder to see. An employee connects an AI writing tool to company email. A team plugs an AI coding assistant into the source repo. Someone builds a small AI agent to automate a report, and gives it API access to three internal systems to make it work. None of this goes through security review, because it rarely feels like "IT" in the moment. It feels like getting work done.
But every one of those tools is a new non-human identity. It has credentials. It has access. And in most cases, security has no idea it exists. Shadow AI doesn't just create sprawl — it creates sprawl that nobody approved in the first place, sitting in the exact blind spot this whole problem already lives in.
Why Traditional IAM and PAM Aren't Enough
Most organizations already have identity and access management (IAM), privileged access management (PAM), or secrets management tools in place. So why do non-human identities still slip through the cracks?
The answer is that these tools were largely built around people and privileged accounts. They excel at onboarding employees, enforcing MFA, managing privileged sessions, and securing credentials. But non-human identities are created differently. They often emerge through application deployments, cloud services, CI/CD pipelines, automation scripts, and AI-powered workflows and outside the processes traditionally used to govern human users.
As a result, organizations may struggle to answer fundamental questions: Which non-human identities exist? Who owns them? Why were they created? What systems can they access? Are they still needed? Discovery alone doesn't solve these challenges. Without ownership, lifecycle management, least-privilege enforcement, and continuous governance, machine identities can accumulate unchecked, creating the very blind spots attackers look for.
The Need for Governance, Not Just Another Tool
The real shift is treating non-human identities the way mature organizations already treat human ones. Every identity should be mapped to an owner. Access should be granted just in time wherever possible. Every account should follow a lifecycle that begins with a clear purpose and ends when that purpose does.
That's the difference between an inventory and real governance. One tells you what exists. The other tells you who created it, who owns it today, why it exists, what it can access, when its credentials should be rotated, when it expires, and when it should be decommissioned. When done well, governance doesn't just improve visibility but also reduces overprivileged access, limits long-term credential exposure, strengthens authentication practices, and ensures non-human identities are retired before they become security liabilities.
What Comes Next
AI agents are about to make this harder before it gets easier. They don't just hold credentials: they request new access, chain actions together, and act on decisions no human explicitly approved. Add Shadow AI into that mix, and the identity perimeter stops being a security team's problem alone. It becomes a question every part of the business needs to help answer: for every identity in the environment, human or not, sanctioned or not, who owns it — and what happens the day it should have been switched off?
A Different Way to Think About Identity
For years, identity security has revolved around people. Joiners, movers, leavers. MFA. Passwords. Privileged access. Those aren't going away. But they're no longer the whole picture.
The fastest-growing population in most enterprise environments doesn't sit in meetings or request vacation days. It spins up, authenticates, talks to APIs, makes decisions, and quietly disappears. Yet every one of those identities deserves the same questions we've always asked of human users: Who created it? Why does it exist? What can it access? Who's responsible for it? And when should it be retired?
Those questions are becoming the foundation of modern identity security.
The organizations that answer them well won't just have cleaner inventories. They will reduce overprivileged identities, eliminate forgotten and orphaned accounts, improve visibility into NHI activity and usage, establish clear accountability, strengthen the security of third-party integrations, and significantly reduce the attack surface created by unmanaged non-human identities quietly powering their business.
The industry is only beginning to treat non-human identities as a governance problem instead of a credential problem. It's a shift we believe deserves far more attention—and one we're actively building for at Securden. Stay tuned. We'll be sharing more very soon.
Frequently Asked Questions (FAQs)
What is the difference between a non-human identity and a service account?
A service account is one type of non-human identity (NHI), but the two terms are not interchangeable. Non-human identities include service accounts, workload identities, application identities, and other digital identities assigned to machines, applications, or automated processes. These identities authenticate using credentials such as API keys, tokens, certificates, and secrets to access systems and perform tasks without direct human intervention.
Why is non-human identity security becoming more important?
Modern enterprises rely heavily on automation, cloud-native applications, DevOps pipelines, APIs, and AI-powered workflows. As a result, non-human identities now significantly outnumber human users in many organizations. Without proper governance, these identities can accumulate excessive privileges, retain long-lived credentials, become orphaned after projects end, or create blind spots that attackers can exploit. Effective non-human identity security helps organizations establish ownership, enforce least privilege, manage identity lifecycles, and reduce security risk.
How can organizations secure and govern non-human identities?
Securing non-human identities requires more than discovering accounts and storing credentials. Organizations should establish clear ownership for every identity, maintain a complete inventory, enforce least-privilege access, rotate credentials regularly, implement just-in-time access where appropriate, continuously monitor machine activity, and decommission identities when they are no longer needed. Treating non-human identities with the same governance principles applied to human identities helps reduce long-term security risks.
