Primary Purpose
Secure machine identities, credentials, privileges, and automated access across enterprise systems.
Identity and Data Security
Non-human identity security protects the machine identities, credentials, permissions, and data access used by applications, services, APIs, workloads, automation, and AI agents.
Quick Definition
Non-human identity security governs how software, workloads, automation, and AI systems authenticate, access resources, and interact with sensitive data.
Secure machine identities, credentials, privileges, and automated access across enterprise systems.
Service accounts, APIs, workloads, applications, bots, containers, devices, and AI agents.
API keys, access tokens, certificates, secrets, service credentials, and cryptographic keys.
Excessive privilege, orphaned identities, exposed secrets, stale credentials, and unmonitored access.
Discovery, ownership, least privilege, credential rotation, behavior monitoring, and policy enforcement.
Machine identity, secrets management, IAM, CIEM, workload identity, zero trust, and AI agent security.
Core Definition
Non-human identity security is the practice of discovering, governing, monitoring, and protecting digital identities used by applications, workloads, services, APIs, automation, devices, and AI agents.
Unlike human identities, non-human identities authenticate and operate without direct user interaction. They often use API keys, tokens, certificates, service credentials, secrets, or workload identities to access data and systems.
These identities may have broad, persistent, or poorly understood permissions. Without clear ownership and continuous oversight, they can create hidden paths to sensitive data, cloud resources, business applications, and critical infrastructure.
Non-human identity security combines identity governance, secrets protection, access analysis, data context, behavioral monitoring, and automated remediation to reduce machine-driven access risk.
A digital identity assigned to a device, workload, application, service, bot, or automated process.
An account used by software or services to authenticate and perform automated tasks.
An identity assigned to a cloud, container, application, or computing workload.
The secure storage, rotation, retrieval, and governance of credentials, keys, certificates, and tokens.
Identity Categories
Non-human identities operate across cloud, SaaS, applications, development environments, automation, infrastructure, and AI systems.
Accounts created for applications, background services, scheduled jobs, integrations, and automated processes.
Identities used by cloud workloads, virtual machines, containers, serverless functions, and orchestration platforms.
Identities and credentials that allow applications and services to exchange data or initiate actions through APIs.
Autonomous or semi-autonomous systems that retrieve data, use tools, call APIs, and perform actions on behalf of users or workflows.
Security Lifecycle
Effective NHI security connects identity inventory, credential context, permissions, data access, activity, ownership, and remediation.
Identify service accounts, workloads, applications, integrations, bots, AI agents, credentials, and secrets.
Determine which team owns each identity, why it exists, and which business process or application depends on it.
Understand what systems, applications, infrastructure, and sensitive data each identity can access.
Detect excessive privileges, stale identities, exposed credentials, unused access, and paths to sensitive data.
Reduce permissions, restrict data access, rotate credentials, and enforce policies based on identity purpose and risk.
Track authentication, data access, tool use, permission changes, unusual activity, and policy violations.
Enterprise Risk
Non-human identities can operate continuously, access sensitive data at scale, and perform actions without direct human oversight.
Cloud adoption, automation, APIs, DevOps, and AI create identities faster than many teams can inventory or govern them.
Machine identities may retain broad permissions long after the original application, integration, or workflow changes.
Hardcoded keys, leaked tokens, stale certificates, and shared secrets can give attackers direct access to systems and data.
Compromised or misconfigured identities can retrieve, transfer, modify, or expose sensitive data at machine speed.
Risk Reduction
Strong NHI security requires continuous visibility into identities, credentials, permissions, sensitive data access, behavior, and ownership.
Discover service accounts, applications, workloads, APIs, bots, AI agents, credentials, and secrets across every environment.
Require a documented owner, approved purpose, expected behavior, and review process for every non-human identity.
Limit each identity to the minimum systems, resources, data, and actions required for its intended function.
Eliminate hardcoded secrets, shorten credential lifetimes, rotate keys, and use managed identity or temporary access where possible.
Track which identities access sensitive data, call tools, change resources, or behave outside expected patterns.
Frequently Asked Questions
Explore common questions about machine identities, service accounts, workload access, credentials, AI agents, and sensitive data.
Non-human identity security is the practice of discovering, governing, monitoring, and protecting the identities, credentials, permissions, and data access used by software and machines.
A non-human identity is a digital identity used by an application, service, workload, API, device, bot, automated process, or AI agent rather than a person.
Examples include service accounts, workload identities, application identities, API clients, bots, automation accounts, containers, devices, and AI agents.
Non-human identities often have persistent credentials, excessive permissions, limited ownership, and broad access to systems or sensitive data, making them valuable attack targets.
IAM governs identities and access broadly. NHI security focuses on the unique lifecycle, credential, ownership, permission, and behavioral risks created by machine identities.
Secrets management protects credentials such as keys, tokens, certificates, and passwords. NHI security adds identity ownership, permissions, data access, behavior, and lifecycle governance.
Yes. AI agents can authenticate, retrieve data, call tools, access APIs, and take actions, so their identities and permissions require continuous governance.
Organizations should inventory identities, assign ownership, enforce least privilege, rotate credentials, remove stale access, monitor behavior, and evaluate access to sensitive data.
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