Human vs Non-Human Identities: Key Differences & Risks

In contrast, non-human identities authenticate using programmatic credentials like API keys, service accounts, and certificates, often without user oversight. Human identities typically rely on usernames, passwords, and multi-factor authentication (MFA), with access tied to interactive login sessions. Ensuring secure, granular access for non-human identities is vital. An NHIM platform must ensure secure issuance, storage, rotation, and revocation of secrets, certificates and encryption keys. Identifying NHIs in complex environments is challenging, often leading to hidden vulnerabilities.

A content writer with 6 years of experience turning complex topics into clear, engaging, and meaningful content. Without monitoring, compromised API keys or service accounts can lead to large-scale breaches. Traditional IAM focuses on managing employee access, while non-human identity management secures machine credentials such as API keys, tokens, and service accounts. Integrating NHI governance within IAM and IGA ensures consistency, compliance, and reduced exposure to misuse. Organizations should adopt centralized secrets management systems to store and rotate credentials securely.

• Build an identity and access management strategy for non-human identities.
• Can you continually monitor their use, detect anomalous behavior, and alert or, ideally, automatically remediate them?
• The new GitGuardian Secret Analyzer can also help ensure that the principle of least privilege is being followed.
• The biggest challenge for security teams is the need to ensure that they are enabling RPA velocity while also centrally managing policies to stay compliant and defend against attacks.
• When an employee leaves, their account is deactivated through an established offboarding process.
• Proper management helps mitigate risks such as privilege escalation, which is often an entry point for cyberattacks.

Service accounts are specialized non-human entities used by applications or services to interact with other systems, such as databases, backup solutions, or monitoring tools. Cloud platforms like AWS, Azure, and Google Cloud create non-human identities to manage resources, automate deployments, and monitor activities. However, unlike human identities, these digital entities operate under fundamentally different ownership structures, security protocols, and management practices. As automation and cloud-native technologies evolve, non-human identities have become necessary. Unlike human identities, which represent individual users, non-human identities allow for smooth machine-to-machine interactions, which are essential in modern organizations. Take a personalized product tour with a member of our team to see how we can help make your existing security teams and tools more effective within minutes.

Quick wins (Things you can start right now)

Understanding what are non-human identities requires recognizing the distinct categories operating across your infrastructure. Organizations now face machine-speed identity creation managed with human-speed processes, creating an unsustainable governance gap. The explosion of generative and agentic AI in 2026 has accelerated NHI proliferation beyond what manual governance processes can handle. Unlike human identities tied to employees with predictable lifecycle events, NHIs are https://www.wrestlingvalley.org/the-security-infrastructure-of-the-healthcare-industry.html created by developers, business users, third-party vendors, and increasingly by other machines. But non-human identities don’t have managers, don’t take PTO, and don’t trigger suspicious login alerts when they authenticate at 3 AM on Sunday.

Non-Human Identities Are a Growing Attack Surface

At the same time, a microservice in your architecture, fetching data from a database using an API key, is a non-human identity. In contrast, non-human identities represent systems or services performing automated tasks without human intervention, like an API key or service account. Many NHIs are spun up automatically by tools like Terraform or Kubernetes, making them harder to track and secure. These identities often need access to infrastructure, databases, or third-party services like human users, but they behave very differently. As environments scale, so does the number of NHIs, often into the thousands.

These credentials are created by developers, automatically generated by cloud services, or embedded in self-service containers that are spawned and https://www.edhardy-onsale.com/internet-security-tips-for-small-businesses.html die in minutes. Research indicates that the typical enterprise has 144 machine identities for every employee. Every employee has a manager who knows what they are responsible for.

Why NHIs Create Blind Spots Where Attackers Operate

• Learn the 12 PCI DSS requirements, compliance steps, PCI DSS v4.0 updates, checklist, and best practices to protect cardholder data.
• It is critical to identify an owner for each NHI to help drive hygiene and remediation activities.
• Modern enterprises must govern both human and non-human identities within a unified framework to reduce credential sprawl, improve visibility, and maintain compliance.
• Meanwhile, non-human identities quietly accumulate elevated privileges, persist long after their original purpose ends, and create invisible attack paths that bypass every human-focused control.
• Consumer (workload/pipeline/agent) → credential → identity → resource.

An insider threat is a threat to an organization that occurs when a person with authorized access—such as an employee, contractor, or business… Enterprise Password Management is a system or software designed to securely store, manage, and control access to… Endpoint Privilege Management (EPM) is a critical process that ensures that users and applications have…

Run certification in an order that scales

But non-human identities often authenticate once (or never, in the case of long-lived tokens) and then make thousands of API calls. Security teams deploy sophisticated identity security tools, yet non-human identities slip through the gaps. Even if that employee leaves the company, their automation workflows continue running with full access. Each workflow creates new non-human identities (OAuth tokens, API keys, webhook subscriptions) that persist independently of the human user who created them. Shadow NHIs are created without IT or security awareness, typically by business users authorizing OAuth applications or automation platforms spawning service accounts dynamically. Attackers specifically search for inactive service accounts with write/delete permissions because they know security teams aren’t monitoring them.