Secure the machine identities powering your business

Secure the Fastest-Growing Identity Risk: Non-Human Identities (NHIs)

As enterprises embrace cloud-native architectures, DevOps automation, and AI-powered systems, Non-Human Identities (NHIs) have rapidly become the dominant identity type in modern IT environments. Service accounts, API keys, cloud workloads, bots, and automated processes now outnumber human users by orders of magnitude—yet they remain largely unmanaged and invisible to traditional identity programs.

Unlike human identities, NHIs rely on secrets, tokens, and certificates that are often long-lived, over-privileged, and scattered across source code, CI/CD pipelines, configuration files, and cloud environments. This lack of visibility and lifecycle governance creates a massive and growing attack surface. Exposed or orphaned credentials can persist for years, providing attackers with silent, persistent access to critical systems and data.

While secrets managers are essential for securely storing credentials, they alone cannot solve the complexity of NHI security. Without discovery, contextual risk analysis, continuous monitoring, and automated remediation, organizations are left with fragmented controls and blind spots. This paper examines how integrating secrets managers with an NHI security platform enables enterprises to govern machine identities end-to-end—reducing risk, improving compliance, and strengthening defenses in an increasingly automated world.

Why NHI Lifecycle Management Can’t Be Ignored

Key benefits

Reduce blast radius from compromised NHIs
Enforce least privilege across machine identities
Cut mean time to remediate leaked secrets
Simplify audits and meet NIST / PCI requirements
Reuse of credentials across environments

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“This content is brought to you by GitGuardian, a global leader in secrets detection and enterprise-grade secrets management. Insights are based on real-world incidents and remediation patterns that help organizations secure their software supply chain, eliminate hardcoded credentials, strengthen cloud security, and accelerate their journey toward automated, scalable machine identity protection.”

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