With the rise of automated workflows, cloud-native development and interconnected systems, non-human identities (NHI) are becoming a key part of modern IT environments. These identities help systems communicate and operate without human involvement.
However, their proliferation comes at a cost. As the number of NHIs increases, it broadens the attack surface, creating critical, yet often overlooked, security vulnerabilities that require careful management and specialized security controls.
A non-human identity (NHI) represents any machine, application, service, software component, network resource or automated process that needs to authenticate itself to access data or resources within an environment, without direct human intervention.
Here are some examples of NHIs:
Beyond the obvious, human and non-human identities differ in their characteristics, management and associated risks:
Aspect
Human identity
Non-human identity
Representation
An individual person (employee, contractor, etc.)
An application, service, device, script or bot
Interaction
Typically interactive (login screens, prompts)
Programmatic, automated, non-interactive
Authentication
API Keys, Certificates, Tokens (OAuth, JWT), Secrets, Cloud IAM
Scale
Generally proportional to workforce size
Can vastly outnumber human users, scales with automation/services
Lifetime
Generally tied to employment/role duration; however, privileged identities may be assigned temporary credentials
Tied to application/service/device lifecycle; can be short-lived or dangerously static
Credential management
Password resets, MFA setup/resets, IT helpdesk
Often requires automated rotation, secrets management tools (e.g., Vault), secure injection
Provisioning
HR-driven onboarding/offboarding processes
DevOps/developer-driven, tied to deployment pipelines
NHIs are particularly prevalent in cloud environments. The very nature of the cloud – built on APIs, automation, dynamic scaling and Infrastructure-as-Code (IaC) – necessitates extensive use of NHIs for communication, authorization and deployment.
However, this heavy reliance also makes NHIs a significant source of risk in the cloud:
To avoid these risks, organizations must use specialized security tools and controls to gain end-to-end visibility into NHI activity and implement proactive threat detection.
If not properly managed, non-human identities can introduce security risks that lead to compliance violations, service disruptions and even data breaches. Here’s why proactive NHI governance is a must-have for your organization:
Here are some best practices you can follow to reduce common NHI risks:
Your NHI security policy should implement protective measures for the following threats:
If your organization uses automation, cloud services or any kind of system-to-system communication, you almost certainly have non-human identities (NHIs) in your environment. Even if their number is low right now, you should start developing a scalable NHI management system immediately.
As your infrastructure grows, the number of NHIs can increase exponentially, which would make it harder to track and secure them later. A structured management framework helps prevent security gaps and ensures that NHIs are properly controlled from the start.
Here’s an overview of a typical NHI lifecycle:
Next, let’s look at two examples of how NHIs work in real life:
Consider a script that fetches some data from a sensitive database. Here’s how it could work:
Our next example is an EC2 instance that needs to interact with other cloud services.
Modern frameworks like NIST CSF 2.0, PCI DSS 4.0.1 and ISO 27001:2022 place greater emphasis on dedicated NHI management. Organizations must take heed of these guidelines, not only to ensure compliance, but also to proactively mitigate security vulnerabilities.