Understanding Non-Human Identities in Cybersecurity | How to Secure Machine Accounts, API Keys, and Secrets in 2026

Key takeaways

• Service accounts and API keys often outnumber human users.
• Rotate secrets and give each machine identity the minimum rights.
• Store secrets in a vault and not in code.

Table of Contents

• What Are Non-Human Identities (NHIs)?
• Why Are NHIs a Growing Risk?
• Real-Life Examples of Machine Identity Breaches
• Why Secrets Managers Aren’t Enough
• GitGuardian’s NHI Security Platform: How It Solves the Problem
• Compliance and Zero Trust Requirements
• How Can DevOps and Security Teams Work Together?
•  Key Takeaways
•  Conclusion

In the digital age, we’ve learned how to manage human identities with tools like IAM platforms, 2FA, and access control systems. But what about non-human identities? These silent actors, API keys, bots, service accounts, and machine credentials, are now outnumbering humans 100:1, and they are becoming one of the biggest blind spots in cybersecurity.

What Are Non-Human Identities (NHIs)?

Non-Human Identities (NHIs) refer to digital identities used by machines and software, such as:

• API keys

• Service accounts

• Bots

• Automation scripts

• Cloud workloads

• CI/CD credentials

These identities are used to automate tasks, access services, or transfer data between systems. They don’t have physical bodies, but they carry real security risk.

Why Are NHIs a Growing Risk?

1. They Outnumber Human Identities

For every human employee, there may be 100+ machine identities operating across environments.

2. Secrets Sprawl

These identities carry secrets (tokens, API keys, credentials), which are often:

• Hardcoded in source code

• Shared across teams

• Forgotten after deployments

According to GitGuardian, 70% of secrets in public repositories stay active for years, making them easy targets for attackers.

3. Poor Visibility & Governance

Unlike employee accounts that are documented and tracked, NHIs are often:

• Created automatically

• Not decommissioned properly

• Left with over-permissive access

 Real-Life Examples of Machine Identity Breaches

• Toyota: Leaked credentials exposed cloud infrastructure.

• U.S. Department of the Treasury: Compromised keys led to data access.

• New York Times: Unmanaged API tokens gave access to sensitive services.

 Why Secrets Managers Aren’t Enough

Secrets managers like HashiCorp Vault, AWS Secrets Manager, or CyberArk are great at storing secrets, but they don’t solve the lifecycle problem:

• They can’t detect secrets leaked outside their vault.

• They don’t auto-rotate credentials.

• They lack visibility across environments like CI/CD, cloud, and ticketing tools.

Shockingly, GitGuardian’s data shows repositories using secrets managers had higher leakage (5.1%) than those without (4.6%), because they handle more sensitive information.

 GitGuardian’s NHI Security Platform: How It Solves the Problem

To truly secure NHIs, we need a complete, automated, continuous solution. GitGuardian provides that.

1.  Discovery & Inventory

Secrets can be hidden anywhere:

• Source code

• Messaging apps (Slack, Teams)

• Pipelines (GitHub Actions, Jenkins)

• Cloud configs

GitGuardian scans and maps all machine identities, providing a complete, real-time inventory with context.

2.  Provisioning with Governance

Avoid:

• Over-permissioned accounts

• Manual config errors

• Hidden zombie tokens

GitGuardian enforces least privilege policies, standardizes onboarding, and ensures consistency across teams.

3.  Continuous Monitoring

Modern enterprises use:

• Multiple cloud services

• CI/CD systems

• Secrets managers (avg. 6 per org)

GitGuardian aggregates logs, normalizes usage data, and flags anomalies or policy violations in real time.

4.  Auto-Rotation & Remediation

Credential rotation is complex. But with integrations to AWS, Azure, and other tools, GitGuardian:

• Identifies owners

• Suggests fixes

• Automates rotation & revocation

5.  Decommissioning Zombie Credentials

Unused secrets are gold mines for hackers. GitGuardian flags:

• Expired tokens

• Inactive service accounts

• Abandoned repositories

And helps safely retire them.

 Compliance and Zero Trust Requirements

Modern security frameworks now mandate machine identity governance:

GitGuardian supports all of these with policy templates, compliance reporting, and continuous auditing.

 How Can DevOps and Security Teams Work Together?

Security shouldn't block development. GitGuardian helps:

• DevOps: with easy-to-use scanning tools and IDE plugins

• Security teams: with dashboards, alerts, and audit trails

Together, they can automate NHI management across the SDLC.

 Key Takeaways

• Machine identities are growing fast, and being overlooked.

• Secrets managers are necessary but insufficient.

• NHIs require continuous discovery, governance, and remediation.

• Platforms like GitGuardian are bridging this massive security gap.

• Don’t wait for a breach, act before attackers do.

Conclusion

If you’re scaling in the cloud, using AI agents, or building microservices, your NHIs are increasing daily. Managing them isn’t optional anymore, it’s a core part of your security strategy.

Invest in tools that:

• Give full visibility

• Provide automation

• Keep secrets secure from creation to deletion

Because in 2026, the biggest threats are no longer human.

To take this further with guided labs and an instructor, see our hands-on DevSecOps labs.

Related reading

• OpenVPN Private Key Exposure | Critical Lessons in Cloud Security
• What is DevSecOps? | Full Guide on Concepts, Tools & Security Practices
• Top Cloud Security Tools & Technologies You Must Master in 2026

Reference

For the authoritative details, see OWASP Cheat Sheet Series.