There's a quiet arms race happening inside most business networks right now—and it has nothing to do with your employees' passwords.
While IT teams have spent the last several years locking down human identities with multi-factor authentication, single sign-on, and privileged access policies, a different class of identity has quietly exploded in size and complexity: non-human identities (NHIs).
Service accounts. API keys. OAuth tokens. Bot credentials. Machine-to-machine certificates. Automated pipeline secrets. The digital entities your software, cloud services, and infrastructure components use to talk to each other.
According to research from CyberArk, non-human identities now outnumber human identities by a ratio of 50-to-1 in most enterprise environments. For mid-size businesses running modern cloud infrastructure, SaaS platforms, and DevOps pipelines, that ratio can be even higher. And the vast majority of those NHIs are unmonitored, unrotated, and completely invisible to traditional identity and access management tools.
This isn't a theoretical risk. In 2025 and into 2026, some of the most damaging breaches on record—including cloud infrastructure compromises affecting thousands of downstream customers—were traced back to exposed service account tokens, stolen API keys, or misconfigured machine credentials. The attackers didn't need to phish your CEO. They just found a forgotten service account with admin-level access and walked right in.
If your identity security strategy focuses entirely on human users, you're defending half the battlefield.
What Exactly Is a Non-Human Identity?
Before we talk about protecting them, it helps to understand what we're actually dealing with.
A non-human identity is any credential, token, secret, or certificate that allows a software system, automated process, or machine to authenticate and access resources—without a human directly initiating that action in the moment.
Common types of NHIs include:
- Service accounts — User accounts created for applications, scheduled tasks, or automated processes to log in and perform actions (Active Directory service accounts are a classic example)
- API keys — Static credentials that allow one application to authenticate with another service (think: your CRM connecting to your email platform, or your billing system calling a payment API)
- OAuth tokens and access tokens — Short- or long-lived tokens issued by identity providers that authorize applications to act on behalf of users or services
- SSH keys — Cryptographic keys used to authenticate servers and automated scripts to remote systems
- Machine certificates (mTLS) — Certificates used for mutual authentication between services in a microservices or zero trust architecture
- CI/CD pipeline secrets — Credentials embedded in DevOps pipelines that allow automated build and deployment systems to access cloud environments, code repositories, and production infrastructure
- Cloud IAM roles and service principals — Identity constructs in AWS, Azure, and Google Cloud that grant machines and cloud services permission to interact with cloud resources
Each of these is, in effect, a set of keys to something valuable in your environment. And unlike human users who at least show up, get hired, get promoted, and eventually leave—NHIs are created constantly, multiplied across environments, and almost never cleaned up.
Why Non-Human Identities Have Become Such a Massive Problem
1. They're Created Faster Than They're Tracked
Modern software development and cloud operations generate NHIs at a pace that no spreadsheet or manual audit can keep up with. Every new SaaS integration creates API keys. Every new microservice deployment generates credentials. Every CI/CD pipeline produces secrets. According to Astrix Security, the average mid-size organization has over 40 SaaS-to-SaaS connections generating active tokens—most of which are never inventoried.
When you can't see all your identities, you can't secure them.
2. They Live Far Longer Than They Should
Human employees get offboarded—eventually. Non-human identities almost never do. A service account created for an integration with a legacy system you retired three years ago? Still there. An API key generated by a developer who left the company? Still valid. An OAuth token granted to a third-party app your team stopped using? Still authorized.
Research from Grip Security found that over 70% of OAuth tokens granted by employees are never revoked, even after the employee leaves or the application is decommissioned. That's a massive trail of persistent access left open for attackers to find.
3. They're Frequently Over-Privileged
When developers or admins create service accounts and API keys, they often grant broad permissions to avoid authentication errors and keep projects moving. There's enormous pressure to ship fast, and the path of least resistance is giving a service account admin rights rather than spending time figuring out the minimum permissions it actually needs.
The result: machines with far more access than they should ever have. A service account that only needs to read one database table has full database admin rights. An API key that should only write to one S3 bucket has permissions across the entire cloud storage environment.
4. Secrets Get Embedded Where They Shouldn't Be
Developers under deadline pressure paste API keys and database passwords directly into source code. Those credentials get committed to repositories—sometimes public ones, sometimes internal ones—and then replicated across dozens of environments. GitHub's own data suggests that millions of secrets are accidentally committed to public repositories every year.
Tools like TruffleHog, GitGuardian, and similar scanners actively search these repos for exposed credentials around the clock. Attackers use the same approach.
5. Traditional IAM Tools Weren't Built for Machines
Most identity and access management platforms were designed with human users in mind. They handle things like password policies, MFA enrollment, role-based access, and user lifecycle management. Non-human identities don't fit neatly into those workflows. They don't have emails. They don't enroll in authenticator apps. And they often need access patterns that don't map cleanly to traditional role hierarchies.
This gap has left NHI security as something of an organizational no-man's-land—not quite owned by identity teams, not quite owned by DevOps, and not quite owned by security.
Real-World Consequences: What NHI Breaches Actually Look Like
The 2023 Okta breach—which affected thousands of Okta's customers—was initiated through a compromised service account credential. The 2024 Snowflake customer breach wave involved stolen credentials for service accounts connecting to cloud data platforms. The CircleCI breach in 2023 exposed customer secrets stored in their CI/CD pipeline environment.
In each case, the pattern was similar: attackers didn't brute-force complex passwords or run elaborate social engineering campaigns. They found a machine credential with excessive access and used it quietly, often for weeks or months, before detection.
This is exactly the kind of threat that Layer27's Managed Detection & Response (MDR) and 24x7 SOC services are designed to catch—behavioral anomalies in authentication patterns, unusual API call volumes, service accounts accessing resources they've never touched before. The challenge is that you can't alert on what you don't know exists. Visibility into your NHI inventory is the prerequisite for effective detection.
The 2026 Regulatory and Compliance Pressure
Non-human identity security isn't just a best practice anymore—it's increasingly a compliance requirement.
NIST SP 800-207A, released in draft form in 2024 and widely adopted by 2026, specifically extends Zero Trust Architecture principles to non-human entities, requiring organizations to apply least-privilege access, continuous verification, and lifecycle management to all identities—not just human ones.
SOC 2 Type II auditors are increasingly asking about service account management, API key rotation policies, and secrets management as part of their access control testing.
HIPAA security controls around access management apply to all system users—including automated processes accessing electronic protected health information (ePHI). A service account that queries patient records without proper controls is a HIPAA exposure.
PCI-DSS 4.0 Requirement 8 explicitly addresses service accounts and system-to-system authentication, requiring unique credentials, rotation schedules, and access reviews for non-human entities that interact with cardholder data environments.
If your organization works with Layer27 on Compliance services, NHI governance should be part of your access control audit scope—full stop.
Building a Non-Human Identity Security Program: Where to Start
The good news is that you don't have to solve this problem overnight. A structured, phased approach makes it manageable. Here's how to get started.
Step 1: Build a Complete NHI Inventory
You can't secure what you don't know about. Start with discovery:
- Audit Active Directory for service accounts—look for accounts that haven't logged in recently, accounts with passwords set to "never expire," and accounts with admin group membership
- Scan your code repositories for hardcoded secrets using tools like GitGuardian, Gitleaks, or Semgrep
- Review your SaaS platforms for connected applications and OAuth grants—most modern platforms (Microsoft 365, Google Workspace, Salesforce) have admin views showing third-party app authorizations
- Audit your cloud IAM configurations in AWS, Azure, and GCP for service principals, IAM roles, and access keys—particularly keys with programmatic access that are older than 90 days
- Inventory CI/CD secrets in your pipeline platforms (GitHub Actions, Azure DevOps, Jenkins, etc.)
This inventory effort is often eye-opening. Organizations routinely discover hundreds or thousands of NHIs they didn't know existed.
Step 2: Apply Least-Privilege Principles—To Machines
Every non-human identity should have only the permissions it absolutely needs to perform its function. Review and right-size access:
- Break up overly permissive service accounts into more narrowly scoped credentials
- Replace wildcard API permissions with specific, resource-scoped grants
- Use cloud-native short-lived credentials (AWS IAM Roles, Azure Managed Identities) instead of long-lived static access keys wherever possible
- Eliminate service accounts with interactive login capabilities unless explicitly required
Step 3: Implement Secrets Management
Hardcoded credentials in source code and configuration files need to go. Replace them with a dedicated secrets management platform:
- HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, and GCP Secret Manager all provide centralized, audited, rotating storage for secrets
- Integrate secrets managers with your CI/CD pipelines so credentials are injected at runtime, not stored in configuration
- Enable automatic rotation for database passwords, API keys, and certificates wherever the consuming application supports it
Step 4: Establish Lifecycle Management Policies
Treat NHIs like employees—they need to be provisioned with purpose, maintained during their lifecycle, and deprovisioned when no longer needed:
- Document the business purpose and owner for every service account and API key
- Set expiration and review dates for all NHI credentials
- Implement automated alerts when credentials approach expiration or go unused for extended periods
- Include NHI deprovisioning in your offboarding checklists for both employees and decommissioned systems
Step 5: Monitor for Anomalous NHI Behavior
Even well-managed machine identities can be compromised. Behavioral monitoring is essential:
- Alert on service accounts logging in from unexpected IP ranges or at unusual times
- Flag API keys making requests to resources they don't normally access
- Monitor for sudden spikes in API call volume that could indicate automated exfiltration
- Correlate NHI authentication events with known threat indicators
This is where solutions like Layer27's MDR platform and 24x7 SOC add significant value—providing continuous monitoring across identity systems, cloud environments, and network traffic to catch the subtle signals that indicate a compromised machine credential is being abused.
How This Fits Into Your Broader Identity and Zero Trust Strategy
Non-human identity security doesn't exist in isolation. It's a critical extension of the Zero Trust principles your organization should already be applying to human users.
The core Zero Trust principle—never trust, always verify—applies equally to machines. A service account that authenticated successfully last week isn't automatically trusted today. Credentials should be short-lived, access should be scoped to the minimum necessary, and every authentication event should be logged and evaluated.
For organizations building out their infrastructure with Layer27's Infrastructure Pro or deploying cloud workloads through CloudStart or our Hybrid Cloud services, NHI governance should be designed in from the start—not retrofitted later. It's significantly easier to build proper secrets management, IAM role structures, and service account policies into new environments than to untangle years of accumulated machine credentials in legacy ones.
Similarly, organizations running Co-Managed IT arrangements should ensure that NHI management responsibilities are explicitly defined in their service scope. Who owns the audit of service accounts? Who is responsible for rotating expiring certificates? Who gets alerted when an API key is about to expire? These questions need clear answers.
And if your team needs help building the human side of this equation—ensuring that developers, DevOps engineers, and IT staff understand why hardcoded secrets and over-privileged service accounts are dangerous—Layer27's Security Awareness Training program can be extended to include developer-focused secure coding and credential hygiene modules.
The Bottom Line
The identity perimeter has expanded far beyond your users. Every API key, every service account, every OAuth token, and every machine certificate is an identity that can be compromised, abused, and used to move through your environment—often without triggering a single traditional security alert.
The organizations that get ahead of this problem in 2026 will be the ones that treat non-human identities with the same rigor they apply to human ones: inventory them, right-size their access, rotate their credentials, monitor their behavior, and clean them up when they're no longer needed.
The ones that don't will keep wondering how attackers are getting in without ever phishing a single employee.
Ready to Get Visibility Into Your Non-Human Identity Risk?
At Layer27, we help businesses across the United States inventory, secure, and monitor their full identity landscape—human and non-human alike. Whether you're building a new cloud environment, hardening an existing infrastructure, or trying to understand what service accounts and API keys are lurking in your network, our team can help you find the gaps and close them.
Contact Layer27 today to schedule a conversation about your identity security posture. The attack surface you can't see is the one that will hurt you most.