Wiki › Security Technologies & Solutions › Identity & Access Management › Non-Human Identity Governance

Non-Human Identity Governance

2 min read

Jump to:

Overview

Non-Human Identity Governance refers to the management and oversight of digital identities assigned to non-human entities such as applications, services, bots, and devices within an organization’s IT environment. It addresses the challenges of securely provisioning, monitoring, and controlling access rights for these automated or machine identities to reduce security risks.

Primary Security Objectives

Mitigate risks associated with unauthorized access by non-human identities
Ensure appropriate access rights and prevent privilege escalation for automated accounts
Enable governance and compliance through visibility and control of non-human identities

Where It Is Used

Enterprise IT environments, cloud infrastructures, and DevOps pipelines
Systems involving APIs, microservices, IoT devices, and automated workflows
Organizations with complex identity ecosystems requiring strict access governance

How It Works (High Level)

Non-Human Identity Governance solutions establish policies and controls around the lifecycle of machine identities, including their creation, usage, and decommissioning. They provide continuous monitoring and auditing of access privileges, enforce least privilege principles, and automate credential rotation to reduce risks associated with credential compromise or misuse.

Key Capabilities

Automated discovery and inventory of non-human identities
Access policy enforcement and role-based access controls for machine accounts
Credential management including rotation, revocation, and secure storage
Continuous monitoring, anomaly detection, and audit logging
Integration with identity and access management (IAM) and security information and event management (SIEM) systems

Benefits and Limitations

Enhances security posture by reducing attack surface related to machine identities
Improves compliance with regulatory requirements through detailed governance and reporting
Operational efficiency gained through automation of identity lifecycle management
Challenges include complexity in discovering all non-human identities and integrating diverse systems
Potential gaps in governance if machine identities are created or used outside managed environments

Integration and Dependencies

Integrates with IAM platforms, credential vaults, and security monitoring tools
Depends on accurate asset inventories, identity repositories, and network infrastructure visibility
Requires coordination with DevOps, security, and IT operations teams for effective governance