Managing the non-human identity lifecycle in modern environments

Introduction: why the non-human identity lifecycle deserves attention

Non-human identities (NHIs) cover every credential or identity construct that allows a system, application, or automated process to authenticate and interact with other resources without a human account directly involved. NHIs include service accounts dedicated to applications or services, API keys that are static tokens for accessing external services, short-lived tokens such as OAuth tokens or JWT tokens, and automation credentials used in CI/CD pipelines, configuration management tools, or RPA workflows. In organizations with diverse infrastructure and complex automation routines, NHIs outnumber human users by ten or more times. Even a mid-sized organization can have hundreds of NHIs, and large enterprises can have thousands. For more information about NHI types and security challenges, see our article on non-human identity security.

Human identity lifecycle management is well established and mature, where HR-driven workflows allow IT to manage the provisioning and deprovisioning of joiner, mover, and leaver employees with RBAC roles and periodic access reviews. On the other hand, NHIs have no defined management structure. They're often created on an ad hoc basis by developers or DevOps teams, granted excessive or broad permissions for convenience, left without documented ownership, and configured with static credentials that rarely rotate.

Without formal NHI lifecycle management, organizations face three challenges:

• Identity sprawl: Uncontrolled proliferation of NHIs across infrastructure, making governance extremely difficult because you can't review and protect what you can't find.
• Orphaned credentials: NHIs that have lost their legitimate owner or purpose but are still active. Because no team is actively using them, they remain a hidden risk for attackers to exploit.
• Security blind spots: NHIs typically remain outside the monitoring scope of security tools such as SIEM or SOAR, which are tuned for detecting suspicious activities by human accounts. Identity governance platforms also focus on human accounts and generally don't include NHIs, which leaves a significant attack surface open.

This article focuses on the five stages of the NHI lifecycle, from discovery and creation through monitoring, risk management, and secure decommissioning.

Defining non-human identities in today's IT ecosystems

Non-human identities (NHIs) are digital identities assigned to machines, applications, services, containers, scripts, and automated processes that operate autonomously. Without human interaction, they authenticate, get authorized for certain permissions, access resources, and perform actions programmatically within IT systems. For example, an application hosted in AWS may use an IAM role to access storage files, or a microservice running in Kubernetes may use a service account to communicate with other services.

NHIs authenticate using machine-friendly mechanisms such as API keys, shared secrets, certificates, JWT or OAuth tokens, and workload identities. Unlike human accounts, they don't log in interactively, don't use passwords in the traditional sense, and often rely on stored credentials. Because they run automatically, NHIs can execute hundreds or thousands of actions at very fast speeds and must be governed with the same security controls and standards as human identities.

NHIs are essential in today's complex IT infrastructure. Modern organizations must adopt cloud-native deployment architectures, and microservices and DevOps practices require machine-to-machine communication as a foundation.

• API interaction: Modern applications rely heavily on APIs. Applications communicate with databases, payment gateways, storage services, monitoring tools, and third-party SaaS platforms using APIs. Each of these interactions is powered by an NHI and requires authentication.
• DevOps and CI/CD pipelines: Continuous integration and continuous deployment pipelines automate software builds, testing, and deployments. These pipelines use NHI agents to authenticate to source code repositories, artifact registries, container platforms, cloud environments for deployment, and notification tools. Each interaction requires authentication with a distinct NHI, and these identities often have elevated permissions.
• Cloud workloads: Cloud-native environments dynamically create and destroy workloads such as virtual machines, containers, serverless functions, and Kubernetes pods. These workloads get NHIs assigned to access storage, query databases, and access messaging services. All these NHIs being created, changed, and retired require lifecycle management with proper visibility.
• Scheduled tasks and automation: Beyond cloud and DevOps, traditional IT environments also depend on NHIs for batch processing jobs, scheduled scripts, data synchronization tasks, backup services, and monitoring agents. These automation tasks run under service accounts with elevated privileges and are not often rotated, monitored, or properly restricted.

Common types of non-human identities organizations manage

Service accounts and application identities: These identities are dedicated, non-interactive accounts created specifically for applications, services, and processes to authenticate and access resources securely. For example, a payroll application connecting to a SQL database to access employee data using a service account ensures continuity regardless of personnel changes. These are typically fixed credentials or keys that are rarely changed, often accumulate excessive privileges over time, and are frequently shared across multiple applications and environments.

API keys, tokens, and certificates: These identities are used in machine-to-machine interaction. Rather than logging in with username and passwords, applications and services use these identities to securely identify themselves. API keys are often static secret strings issued by a service (such as AWS, Entra ID, or Stripe) to identify and authorize a calling application. OAuth or JSON Web Tokens (JWT) are short-lived tokens issued after an authentication event that grant access to whoever holds them without additional verification. PKI-based certificates are used for mutual TLS authentication, code signing, and service mesh communication. Though these certificates carry an expiry date, unmanaged certificates are a leading cause of service outages.

Cloud workload and container identities: NHIs are dynamically assigned to virtual machines, containers, serverless functions, and Kubernetes pods. These workloads interact with each other and outside the cloud to other cloud platforms or on-premises infrastructure. While managed identities reduce the need for hardcoded secrets, misconfigured permissions associated with IAM roles these workloads use are prime targets for attackers.

DevOps, CI/CD, and automation identities: DevOps environments rely heavily on automation identities. CI/CD pipeline tools like Jenkins, GitHub Actions, GitLab CI, and CircleCI require credentials to check out code, push artifacts, deploy to cloud environments, and update infrastructure. Infrastructure-as-code tools like Terraform and Ansible require cloud provider credentials with broad permissions. If compromised, these automation identities can provide attackers with immediate control over production environments.

AI agents and autonomous system identities: As organizations adopt AI-driven automation at a faster pace, a new class of NHI is emerging. These AI agents and autonomous system identities represent AI copilots interacting with enterprise systems, intelligent bots performing operational tasks, machine learning models accessing data pipelines, and robotic process automation (RPA) bots filling forms and transforming data. Organizations must be careful in deploying these AI agents and must define an identity lifecycle management system that controls and monitors access scope with an audit trail.

Human vs. non-human identities: a lifecycle comparison

Human and non-human identities both require governance; however, their lifecycles are fundamentally different in structure, ownership, risk profile, and operational behavior. Traditional IAM processes were designed primarily for human users, and when they're applied as-is to NHIs, they often fail to provide adequate control.

Traditional IAM workflows are designed around the human employment lifecycle. They assume clear account ownership and that HR status triggers events. NHIs don't follow these patterns and require purpose-built lifecycle management because they have no HR record, no manager, no interactive login events, and no natural offboarding timeline.

What the non-human identity lifecycle actually includes

NHIs require structured lifecycle management like human users, but management must adapt to scenarios such as automation, machine-to-machine communication, and high-speed scalability. Following are the five critical stages of the NHI lifecycle:

Governing NHIs with a lifecycle approach ensures that no security blind spots are present. Each stage functions as a security control: no discovery leads to shadow identities, weak provisioning leads to privilege creep, no monitoring means compromises remain undetected, no credential rotation means one leaked key grants persistent access, and no decommissioning leaves orphaned credentials creating undetected persistent backdoors.

Stage 1: discovery and inventory of non-human identities

Discovery is the critical first step in managing non-human identities because the first rule in security is "you can't protect what you can't see." Before any governance, policy, or security control can be applied, organizations must establish a comprehensive, accurate, and continuously updated inventory of every NHI across their environment.

What discovery requires

Continuous scanning: NHIs aren't static. Developers provision service accounts on demand, CI/CD pipelines generate short-lived tokens, and cloud-native workloads create new identities dynamically. A point-in-time audit will capture a snapshot that's outdated almost immediately. Effective discovery requires continuous, automated scanning that runs on a schedule or event basis, detecting newly created identities as they appear.

Cross-environment coverage: Modern organizations operate across hybrid and multi-cloud environments. Discovery must continuously scan on-premises directories such as Active Directory, cloud IAM systems in AWS, Azure, and GCP, SaaS platforms, container orchestration systems, and secrets vaults. If discovery is limited to only one or two environments, a large portion of the NHI attack surface will remain invisible.

Attribute mapping: Discovery isn't just about listing identities; it must also capture the full context of each identity to apply security and governance controls. This includes mapping key attributes for every NHI, such as which team or individual owns the identity, what business function it serves, what systems or services depend on it, and when credentials were last rotated.

Common discovery challenges

1. Unlike human identities that are centralized in an HR system or primary identity provider, NHIs rarely live in one place. They exist in IAM consoles in cloud platforms, local service account configurations on servers, secrets stored in vaults, and API keys embedded in configuration files or code repositories. This identity sprawl makes it difficult to get an accurate inventory without specialized NHI management tools.
2. Unlike human identities that synchronize from HR systems into a centralized directory, NHIs typically have no authoritative origin system. Multiple identities may serve the same function, orphaned identities remain active after applications are retired, and duplicate credentials exist across environments. Security teams must aggregate and correlate data from multiple sources to construct a unified inventory platform.
3. One of the most challenging situations in NHI discovery is shadow identities. Developers and DevOps engineers frequently create identities for quick fixes, testing, and speedy deployments outside formal provisioning processes. These identities lack proper documentation and scope, making them high-risk and difficult to discover.

Stage 2: secure provisioning and access assignment

The first line of defense is the provisioning phase. How NHIs are created determines their risk profile throughout their lifecycle. If an identity has excessive permissions that are undocumented with no clear ownership, it becomes a risk that can persist for years undetected.

Provisioning best practices

Standardize creation workflows: Every NHI must be created through a predefined, repeatable process, and access must align to role-based access control or attribute-based access control models. This means establishing approved templates for common identity types such as service accounts, API keys, and CI/CD pipeline tokens to ensure that no NHI enters the environment outside a governance policy.

Enforce least privilege from the start: One of the biggest risks in NHI provisioning is granting broad access during the development phase that becomes permanent in production. Least privilege must be applied at the time of identity creation: define exact systems and API requirements, evaluate what permissions should be given carefully, avoid wildcard permissions in cloud IAM policies, and start from minimum access.

Assign ownership: Every NHI must be linked to an individual, role, or team to establish clear ownership. Ownership must be updated regularly in Change Management Database (CMDB) and IAM platforms so that any modification required must be consulted and approved by the owner. If the owner leaves the organization, ownership must be reassigned immediately.

Set expiration dates: Many NHIs are created for temporary projects, migrations, testing environments, vendor integrations, and short-term automation tasks, but they rarely get deactivated after the need expires. Assign a time to live (TTL) to each NHI. When it expires, the owner must review the need, and if not approved, the NHI must automatically get removed from the system.

Provisioning pitfalls to avoid

• Excessive permissions: Under delivery pressure, teams often grant excessive permissions "just to make things work." Excessive permissions are rarely reduced once things work and create hidden privilege escalation paths that can become opportunities for lateral movement or serious compliance violations.
• Copying permissions from existing NHIs: When creating a new identity, it's easier to copy permissions from existing ones, assuming that's the approved way. However, this creates problems such as inheriting outdated or excessive permissions that were never formally approved.
• Creating NHIs without documentation and ownership: When NHIs are created without documentation and inventory isn't updated, security teams can't include them in their scope, risk assessments become outdated, and there's no incident response or decommissioning plan.

Stage 3: ongoing monitoring and behavioral oversight

Once an NHI is provisioned, security work doesn't stop. It shifts to continuous monitoring, not just static access reviews periodically, but monitoring how permissions are used and how roles and permissions evolve over time. Continuous monitoring ensures that what an NHI is doing aligns with what it should be doing, and if deviations are detected, investigation and remediation can stop deviation from becoming an incident.

What to monitor

Usage patterns: Understanding and monitoring how frequently and in what context an NHI is operating provides the foundation for understanding attached risks. Is an NHI active daily or only during the last days of the week or month? If it's pushing 100 requests an hour, what's the cause of a sudden spike to 10,000 requests? A spike in usage frequency or call volume outside the usual operating window may indicate compromise or misuse. If an NHI isn't active for a longer period, it might indicate a decommissioned service whose credentials were never revoked.

Access scope: Monitoring what an NHI accesses, such as resources, APIs, data stores, or services, is critical for visibility and ensuring that actual runtime behavior matches the intended access design. Even if an NHI is operating normally, excessive access is a potential risk. Visibility into access scope must include periodic access review, role assignments, and risk scoring based on access criticality.

Unusual changes: Any access changes, particularly unexpected or unauthorized ones, should be a red flag for security teams. This includes new role assignments, policy attachments, group membership changes, or secret access grants that weren't part of a change management workflow. Since NHIs can't self-initiate requests, an unexpected access change should be considered as possible malicious activity, insider abuse, or automation misconfiguration and must be investigated promptly.

Permission drift: Over time, NHIs tend to accumulate permissions for different tasks or temporary projects and gain more access than originally intended. Common causes include project expansions, temporary access added for troubleshooting that was never removed, and role inheritance changes due to complex group nesting. Permission drift must be monitored rigorously by comparing current permissions against baseline permission templates.

Logging and compliance

NHI activity logs are not optional; they're as crucial as human activity logs for compliance requirements, audit readiness, and incident response. Frameworks such as PCI DSS, HIPAA, SOC 2, and GDPR require traceability, accountability, and audit trails of system access whether it's a human account or a non-human identity.

• Traceability: Every automated action must be attributable to a specific identity so that ownership can be established.
• Audit evidence: Organizations must be able to demonstrate who accessed sensitive systems, when access occurred, what actions were performed, and whether access was authorized.
• Incident investigation: During forensic investigations of security breaches, identity logs help determine whether credentials were compromised, trace lateral movement, establish data exfiltration scope, and build a clear timeline to reconstruct attack events.

Stage 4: credential risk management

Long-lived secrets are one of the most dangerous aspects of non-human identity security and represent a systemic risk. Unlike human credentials where password changes are enforced by policy and MFA adds an additional layer of security, NHI credentials often remain static for months or even years. If these credentials get leaked, they remain actively exploitable until permissions are explicitly revoked or the identity is deleted.

Why rotation matters

Undetected exposure: Credentials can be leaked through logs, developer environments, or sophisticated techniques without triggering any alarm. If a secret is accidentally committed to Git, exposed via a misconfigured cloud storage bucket, or extracted from memory or logs, attackers obtain persistent access and organizations have no idea that a compromise has already occurred.

Rotation limits the blast radius: Rotation acts as a time limit on possible compromise. By frequently changing credentials, attackers with silent access automatically get revoked. For example, if a key is rotated every 24 hours, a stolen key becomes useless the next day. A short-lived token valid for 15 minutes limits the exposure to 15 minutes only. The principle is simple: the longer a secret lives, the greater the probability it has been exposed through some undetected attack vector.

Compliance and governance: Modern security and compliance frameworks explicitly require credential management controls and no longer view credential rotation as nice-to-have but as a mandatory control. Auditors need proof of how often service account credentials are rotated, whether rotation is automated, and what happens when a secret is exposed.

Rotation best practices

Define rotation policies: Manual credential rotation isn't reliable by design because teams may forget or lack clear ownership. A formal rotation policy should define which credentials must be rotated, maximum lifetime per credential type, who owns rotation and is responsible for it, and what tools should be used. Policy-driven rotation ensures consistency across diverse environments and creates a clear audit trail.

Set rotation schedules: Not all credentials carry equal risk, and rotation frequency should be set accordingly. High-privileged service accounts should be rotated daily or weekly, cloud API keys with broad permissions should be rotated weekly or monthly, and user access tokens should be short-lived (valid for minutes, not days). The goal is to make rotation a background process rather than a periodic emergency control.

Respond to exposures immediately: Rotation shouldn't only be time-based; it must also be event-driven based on continuous monitoring. Organizations must have a defined process for credential incident response that triggers immediately when a compromise is suspected or confirmed. When an exposure is detected, an automated process should revoke the compromised credential, generate a new secret, update all dependent services, and log and notify stakeholders.

Stage 5: decommissioning and offboarding non-human identities

Decommissioning is often the most neglected stage of the non-human identity lifecycle. While organizations focus on provisioning and monitoring, NHI retirement generally happens during informal campaigns or not at all. As a result, tons of orphaned NHIs remain in the system as ghost accounts that create a hidden attack surface.

Identifying NHIs for decommissioning

Effective decommissioning begins with visibility. Organizations must proactively detect NHIs that should no longer exist.

Unused identities: Many NHIs are created for short-term projects, temporary integrations, testing environments, or migration initiatives. Once these projects end, these NHIs remain in the system with valid credentials. There should be a policy that evaluates when an NHI is no longer in use, such as no authentication events within defined timeframes (30, 60, or 90 days).

Orphaned identities: NHIs become orphaned when their owners or responsible teams leave the organization, are reassigned to other projects, or when applications for which the NHI was created are retired without NHI cleanup. Without ownership, there's no one to review access rights, rotate credentials, or monitor abnormal activities. Orphaned identities are particularly dangerous because they appear legitimate within systems but have no oversight.

Duplicate identities: In decentralized DevOps environments, multiple teams may create separate identities for identical tasks, leading to redundant service accounts, overlapping API keys, or multiple credentials with similar access rights. Duplicate identities increase complexity and risk because audit trails become harder to maintain and revoking access of one identity doesn't eliminate the access risk.

Safe decommissioning process

Removing an NHI without careful validation is itself a risk. It can break applications or dependent services in production. The decommissioning process should be done in a systematic manner.

1. Identify and profile: Use automated discovery tools to flag identities based on inactivity or lack of a valid owner, whether the associated application or service is retired, or if the NHI is confirmed as a duplicate identity. Identified NHIs should be sent for review to application owners, security, and DevOps teams.
2. Dependency verification: Before disabling or deleting an NHI, verify that it's not actively supporting any background jobs, scheduled automation tasks, third-party integrations, disaster recovery processes, or legacy systems. Dependency checks require reviewing authentication logs, checking CI/CD configurations, scanning infrastructure-as-code templates, and consulting application owners.
3. Disable before deleting: Never delete immediately. Best practice is to remove in phases: first disable authentication capability, monitor for failures or system errors, allow a defined grace period (7 to 30 days), and permanently delete if no impact occurs. This allows teams to validate any impact and enables quick rollback.
4. Document removal for audit purposes: Once all phases of decommissioning are completed, perform a hard delete and ensure this action is logged in SIEM platform logs for audit trail. Document necessary information including the name of the identity with its unique identifier, associated systems and privileges, reason for removal, review and approval workflow details, and date of deletion.

Common pitfalls in NHI lifecycle management

How Netwrix supports NHI lifecycle management

Netwrix Identity Manager provides a comprehensive identity governance and administration (IGA) framework that manages human accounts and non-human identities in one platform with automated lifecycle processes. Netwrix Identity Manager builds a centralized identity repository that includes all identity types to create a unified inventory that serves as the foundation for identity lifecycle management.

Discovery and inventory: All identity types including NHIs are synchronized into a centralized identity manager repository that provides visibility and reduces identity sprawl. Connectors pull identity and entitlement data from different directories (Active Directory, Microsoft Entra ID) and business applications, bringing NHIs into the scope of governance alongside human identities.

Controlled provisioning: A standardized provisioning workflow is defined for every identity, reducing ad hoc provisioning with excessive permissions. Policy-based workflows get triggered when an identity creation is requested, enforcing least privilege principles to provision only the access required by the identity role. Role-based access control ensures identities only get permissions appropriate to their function.

Ongoing monitoring and review: Netwrix Identity Manager tracks entitlements, change events, and compliance status for all identities it governs. It offers built-in access certification campaign capabilities with risk analytics to detect when NHIs accumulate excessive permissions and monitors access patterns and resource usage. It helps detect dormant or orphaned identities, privilege creep, and segregation of duties violations for both human and non-human identities.

Access remediation and cleanup: Netwrix Identity Manager allows organizations to analyze each identity's permissions against policy rules. NHIs that no longer need access or have permissions beyond what policy allows can be flagged for remediation. Rules can be defined to identify unused accounts that haven't logged in for a set period (such as 90 days), orphaned NHIs whose owner isn't present, or excessive permissions revealed during access certification.

Lifecycle closure: Netwrix Identity Manager automates the provisioning, update, and deprovisioning phases with comprehensive workflows that accommodate joiner-mover-leaver (JML) processes. When an application or service retires, a project ends, or a human owner leaves or moves to the next project, Netwrix Identity Manager ensures that associated NHIs get permissions revoked and eventually get deleted.

Conclusion: from identity sprawl to lifecycle control

In modern IT infrastructure, non-human identities have become the dominant identity type and aren't going away. They're multiplying exponentially. Every new automation mechanism, cloud workload, and AI agent adds to the ever-growing NHI footprint. The shift from monolithic application design to microservices means multiple identities for every sub-service communicating with other services. Cloud workloads such as virtual machines, serverless functions, containers, and managed services all require more NHIs. DevOps pipelines rely heavily on service principals, deployment tokens, Git integrations, API credentials, and build agents. NHIs now outnumber human identities by a ratio of 10 to 1, and the ratio continues to climb.

NHI lifecycle management transforms NHIs from a growing risk into a governed asset class and allows organizations to manage NHIs with more effective controls required for the scale and impact they carry. By addressing each stage (discovery, provisioning, monitoring, rotation, and decommissioning), organizations can reduce identity sprawl, enforce least privilege, and close the security gaps that traditional IAM can't address for NHIs.