Non-Human Identity (NHI)
Digital identities assigned to systems, applications, services, and automated processes rather than human users, enabling secure machine-to-machine communication and access management in modern environments.
What is Non-Human Identity (NHI)?
Non-Human Identity (NHI) refers to digital identities that are assigned to systems, applications, services, APIs, automated processes, and other technical components rather than human users. As organizations increasingly adopt cloud technologies, microservices architectures, and automation, the number of non-human identities often vastly exceeds human identities within IT environments. These machine identities require the same level of security management and governance as human identities, but present unique challenges and considerations.
Non-human identities are essential components of modern technology environments, enabling secure machine-to-machine communications, automated processes, and service-to-service authentication. They play a crucial role in maintaining security, compliance, and operational efficiency in complex digital ecosystems.
Types of Non-Human Identities
Service Accounts
Digital identities used by applications or services to authenticate and interact with other systems, often with elevated privileges to perform specific functions.
API Keys and Tokens
Credentials that grant applications and services access to APIs and cloud services, typically with defined scopes and permissions.
Service Principals
Identities used by applications to access resources secured by identity providers, particularly in cloud environments like Azure.
Certificates
Digital credentials that establish trust between systems, commonly used in TLS/SSL communications and code signing.
Managed Identities
Platform-provided identities that eliminate the need for developers to manage credentials, such as AWS IAM roles or Azure Managed Identities.
Workload Identities
Specialized identities for containerized applications and cloud-native services, allowing them to securely access resources.
Bots and RPA Identities
Identities assigned to robotic process automation tools and chatbots that interact with systems and data.
Challenges in Non-Human Identity Management
Proliferation and Sprawl
The explosion of machine identities in modern environments often leads to unmanaged credentials and expanded attack surfaces.
# Example of machine identity proliferation in a mid-sized organization
Human Identities: ~1,000
Non-Human Identities:
- Service Accounts: 3,500+
- API Keys: 12,000+
- Certificates: 4,200+
- Serverless Functions: 8,000+
- Container Identities: 15,000+
Overprivileged Access
Non-human identities often receive excessive permissions beyond what's required for their function, violating the principle of least privilege.
Credential Management
Securely storing, rotating, and distributing machine credentials at scale presents significant operational challenges.
Visibility Gaps
Organizations frequently lack comprehensive visibility into their non-human identities, their permissions, and their activity.
Lifecycle Management
Many organizations fail to implement proper lifecycle management for non-human identities, leading to orphaned accounts and expired credentials.
Security Risks Associated with Non-Human Identities
Credential Theft
Exposed machine credentials can provide attackers with persistent access to critical systems and data.
Supply Chain Compromises
Non-human identities used in software supply chains can be targeted to infiltrate development pipelines and inject malicious code.
Lateral Movement
Compromised service accounts with excessive privileges enable attackers to move laterally through environments.
Identity Sprawl
Unmanaged machine identities create an expanded and often unknown attack surface.
Compliance Violations
Improperly managed non-human identities may violate regulatory requirements for access controls and audit logging.
Best Practices for Non-Human Identity Management
Inventory and Discovery
Maintain a comprehensive inventory of all non-human identities across your environment.
{
"identity_type": "service_account",
"name": "app-payment-processor",
"owner": "payments-team",
"creation_date": "2023-01-15",
"last_accessed": "2023-12-01",
"permissions": ["read:customer-data", "write:transaction-logs"],
"risk_score": 72,
"expiration": "2024-01-15"
}
Least Privilege Access
Implement fine-grained permissions that grant only the specific access required for each non-human identity to function.
Just-in-Time Access
Provide temporary, time-limited access for non-human identities rather than persistent credentials whenever possible.
Automated Rotation
Implement automated credential rotation processes to minimize the impact of exposed credentials.
Centralized Management
Use centralized platforms to manage the lifecycle of all non-human identities from creation to decommissioning.
Monitoring and Alerts
Implement continuous monitoring for suspicious non-human identity activity and permission changes.
Non-Human Identity in Different Environments
Cloud Environments
Cloud providers offer specialized identity solutions for managing non-human identities:
- AWS: IAM Roles, Instance Profiles, and Lambda Execution Roles
- Azure: Managed Identities and Service Principals
- Google Cloud: Service Accounts and Workload Identity Federation
Kubernetes and Container Environments
Container orchestration platforms provide unique identity mechanisms:
- Kubernetes: Service Accounts and RBAC policies
- Service Mesh: mTLS authentication between services
- Container Registries: Credentials for image pulling and pushing
CI/CD Pipelines
Automated deployment pipelines require secure identity management:
- Build Systems: Credentials for code repositories and artifact storage
- Deployment Tools: Service accounts for infrastructure provisioning
- Testing Frameworks: Identities for automated testing environments
Non-Human Identity Technologies and Standards
Secrets Management Solutions
Specialized tools for securely storing and distributing machine credentials:
- HashiCorp Vault: Dynamic secrets generation and management
- AWS Secrets Manager: Centralized cloud secrets management
- Azure Key Vault: Managed secrets and certificates storage
- CyberArk: Enterprise privileged access management
Certificate Management
Automated certificate lifecycle management solutions:
- Let's Encrypt: Automated certificate issuance and renewal
- Cert-Manager: Kubernetes certificate management
- Public Key Infrastructure (PKI): Enterprise certificate authority systems
Identity Federation Standards
Standards for cross-domain authentication and authorization:
- OAuth 2.0: Authorization framework for API access
- OpenID Connect: Identity layer on top of OAuth 2.0
- SAML: XML-based standard for exchanging authentication data
- SPIFFE/SPIRE: Identity framework for workloads in heterogeneous environments
Emerging Approaches to Non-Human Identity
Zero Trust for Machines
Applying zero trust principles to machine-to-machine communications, with continuous verification and minimal trust.
Identity-Based Microsegmentation
Using workload identity as the primary mechanism for network segmentation rather than IP addresses or network location.
Passwordless Machine Authentication
Moving away from shared secrets toward certificate-based and cryptographic authentication methods.
Machine Identity Governance
Extending identity governance and administration practices to non-human identities.
Cloud-Native Security Posture Management
Continuous assessment and remediation of non-human identity risks in cloud environments.
Non-Human Identity in Regulatory Compliance
Regulatory Requirements
Many compliance frameworks include requirements that apply to non-human identities:
- SOC 2: Controls around system access and authentication
- PCI DSS: Requirements for secure service accounts in payment systems
- HIPAA: Access controls for systems processing protected health information
- GDPR: Technical measures to ensure data protection
Audit and Reporting
Requirements for tracking and documenting non-human identity activity:
- Access Reviews: Regular certification of appropriate permissions
- Activity Logs: Comprehensive audit trails of machine identity actions
- Attestation Reports: Documentation of controls effectiveness
Implementing Non-Human Identity Management
Assessment and Planning
- Inventory Current State: Discover all existing non-human identities
- Risk Assessment: Evaluate the security posture of machine identities
- Gap Analysis: Identify areas for improvement against best practices
- Roadmap Development: Create a phased implementation plan
Implementation Strategy
- Start Small: Begin with high-risk identities in critical systems
- Automate: Implement automated lifecycle management where possible
- Integrate: Connect identity management with existing security tools
- Educate: Train development and operations teams on secure practices
- Monitor: Establish continuous visibility into non-human identity usage
Common Challenges
- Legacy Systems: Older systems that don't support modern identity methods
- DevOps Friction: Balancing security with developer velocity
- Scale: Managing millions of machine identities across distributed environments
- Organizational Silos: Fragmented ownership of different identity types
The Future of Non-Human Identity
Identity-as-Code
Defining machine identities and their permissions as code, enabling automated provisioning and auditing.
Ephemeral Identities
Short-lived, single-use identities that minimize the risk of credential compromise.
Biometric-Like Authentication for Machines
Using unique characteristics of systems and applications (behavior, code signature, runtime attributes) for authentication.
AI-Driven Identity Governance
Machine learning systems that can detect anomalous behavior and recommend appropriate permissions.
Blockchain and Distributed Identity
Decentralized approaches to machine identity verification that don't rely on central authorities.
Related Terms
Authentication
The process of verifying the identity of a user, system, or entity attempting to access a resource, ensuring that only authorized parties can gain access to protected systems and data.
DevSecOps
An approach to culture, automation, and platform design that integrates security as a shared responsibility throughout the entire IT lifecycle, from initial development through production deployment and beyond.
Zero Trust Security
A security model that eliminates implicit trust by requiring continuous verification of every user, device, and connection before granting access to resources, regardless of location.