Non-Human Identity Management: A Practical Guide

Executive Summary

Non-human identities (NHIs) have become a major part of the enterprise identity landscape as SaaS integrations, automation, cloud services, and AI agents proliferate. Unlike human identities, NHIs often lack natural onboarding and offboarding processes, operate with long-lived credentials, and accumulate permissions without consistent oversight.

Managing this growing attack surface requires more than traditional identity and access management. Security teams need continuous visibility into service accounts, API keys, OAuth tokens, machine identities, and AI agents, along with an understanding of what each identity can access, who owns it, and whether that access is still required.

Effective NHI management follows four stages: Discover, Understand, Enforce, and Monitor. Organizations must continuously inventory NHIs, map ownership and access, enforce least privilege and credential lifecycle controls, and monitor behavior for changes or signs of compromise.

AI agents are making this challenge more urgent. As autonomous agents connect to multiple SaaS applications and act on behalf of users, NHI governance is becoming a foundational component of both identity security and enterprise AI security.

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What Are Non-Human Identities?

Non-human identities are digital identities and credentials that authenticate machines, applications, service accounts, OAuth tokens, API keys, and AI agents — operating outside traditional IAM controls. They include:

• Service accounts — accounts used by applications and services to authenticate to other services, often with standing privileges and no human owner
• API keys — long-lived strings that grant programmatic access to SaaS platforms, cloud APIs, and internal services
• OAuth tokens — authorization grants that allow one application to access another on behalf of a user or system, often persisting indefinitely
• Machine identities — certificates, secrets, and credentials used by workloads, containers, and automated pipelines
• AI agent identities — credentials and permissions assigned to autonomous agents that act on behalf of users, access data through OAuth grants, and inherit permissions from their human owners

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The defining characteristic of an NHI is that it authenticates and acts without a human in the loop. That's what makes them powerful for automation — and dangerous when ungoverned. An over-permissioned service account doesn't need a phishing email to compromise your environment. It just needs to be found.

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The Scale Problem: Why NHIs Are Different from Human Identity Management

Human identity management follows a predictable lifecycle: a person joins, gets provisioned, changes roles, and eventually leaves. Access reviews happen on a schedule. MFA adds a layer of verification. The population is bounded by headcount.

NHIs break every one of those assumptions:

• Unbounded growth. Every new SaaS integration, every automation pipeline, every AI agent creates new credentials. Organizations now manage an average of 3 to 5 times more machine identities than human users, and that gap widens with cloud adoption. There is no HR trigger for an API key.
• No natural offboarding. When a developer leaves, their service accounts often stay. When a SaaS integration is deprecated, its OAuth tokens remain valid. Google Cloud's M-Trends 2026 report confirms that attackers harvest long-lived OAuth tokens and session cookies that remain valid after logout — credentials that outlive the humans who created them.
• Permission accumulation. NHIs are typically created with the permissions needed for a specific task, then never scoped down. Over time, a service account that started with read access to one database accumulates write access to a dozen systems. OAuth token risk compounds because tokens inherit the full scope of the authorizing user's permissions.
• Invisible ownership. Most NHIs have no documented owner. A service account created by a contractor two years ago, an API key embedded in a CI/CD pipeline, an OAuth grant authorized by someone who left the company — these are shadow SaaS credentials with no accountability.
• Blind spots in existing tools. Traditional IAM and SaaS Security Posture Management tools were designed around human-centric controls. They don't inventory API keys, don't track OAuth token scopes, and don't map which workloads are using which credentials.

The result is a population of identities that is larger than your human workforce by an order of magnitude, growing faster, and almost entirely outside your governance controls. The Cloud Security Alliance reports that 92% of organizations lack full visibility into AI identities, 86% do not enforce access policies for AI identities, and only 16% govern that access effectively.

This isn't a gap you can close with a quarterly access review. It requires a different operating model.

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The Four-Step Framework for Managing NHIs at Scale

The most effective NHI programs follow a four-step lifecycle: Discover, Understand, Enforce, Monitor. Each step builds on the previous one — you can't enforce least privilege on identities you haven't found, and you can't monitor for anomalies without understanding what normal looks like.

Step 1: Discover — Build a Continuous Inventory

You cannot protect what you can't see. The first step is establishing a complete, continuously updated inventory of every NHI in your environment.

What to inventory:

• Every service account across your SaaS applications, cloud platforms, and internal systems
• Every API key — active, rotated, and orphaned
• Every OAuth token and its associated scopes, granting application, and authorizing user
• Every machine certificate and workload identity
• Every AI agent credential, including agents provisioned through SaaS platforms and custom deployments

How to do it: Don't rely on manual spreadsheets or one-time audits. Use automated discovery that connects to your SaaS applications via APIs, scans your cloud environments for access keys, and ingests OAuth grant data from identity providers. The inventory must be continuous — new NHIs are created daily, and a snapshot becomes stale within weeks.

Practical starting point: Begin with your highest-risk SaaS applications (the ones handling sensitive data or with broad integrations) and your cloud identity providers. Inventory OAuth grants first — they're the most exploitable and the least visible. Then expand to service accounts and API keys.

Step 2: Understand — Map Access and Ownership

Once you've found your NHIs, the next step is understanding what they can do and who is responsible for them. This is where most programs stall, because the data is scattered across dozens of platforms and rarely includes ownership metadata.

For each NHI, you need to map:

• Access scope — what data, systems, and resources the identity can reach. An OAuth token with files.readwrite.all scope on a collaboration platform is a very different risk than one with read-only access to a single calendar.
• Permission level — admin, read-write, read-only. Flag any NHI with admin or write privileges, especially service accounts.
• Owner — the team or individual responsible for the credential. If no owner can be identified, the NHI is a candidate for decommissioning. Every AI agent needs a human owner for every AI agent — the same principle applies to all NHIs.
• Usage patterns — is the credential actively being used? When was the last API call? An NHI that hasn't been used in 90 days is either forgotten or compromised.
• Connections to workloads — which applications, pipelines, or services are actually using this identity? This helps you distinguish legitimate NHIs from orphaned ones.

Practical starting point: Prioritize mapping access scope and ownership for NHIs with admin or write privileges. A read-only API key with no owner is low risk; an admin-level service account with no owner is an incident waiting to happen.

Step 3: Enforce — Least Privilege, Rotation, and Remediation

With visibility and context in place, you can start enforcing controls. This step is where you reduce your attack surface meaningfully.

Key enforcement actions:

• Right-size permissions. Review every NHI against the principle of least privilege. If a service account only needs to read from one database, remove its write access to everything else. If an OAuth token was authorized with broad scopes, re-authorize with the minimum scope required.
• Rotate credentials. Long-lived credentials are a liability. Establish rotation policies for API keys and service account passwords. For OAuth tokens, implement short-lived token lifetimes where the platform supports it, and revoke tokens that have no active usage.
• Decommission orphaned NHIs. Any NHI with no owner, no recent usage, and no connected workload should be revoked. This is often the single highest-impact action in an NHI program — orphaned credentials are exactly what attackers look for.
• Enforce access policies. Define and apply policies programmatically: no service accounts with admin privileges in production, no OAuth tokens older than 90 days without recertification, no API keys shared across environments.

Practical starting point: Focus first on decommissioning orphaned NHIs and right-sizing admin-level service accounts. These two actions typically eliminate the largest concentration of risk with the least operational disruption.

Step 4: Monitor — Real-Time Anomaly Detection

Static controls aren't enough. NHIs behave in patterns — API calls at expected times, from expected locations, with expected frequency. Deviations from those patterns are your earliest signal of compromise.

What to monitor:

• Unusual access patterns — an API key that suddenly accesses resources it has never touched before, or a service account making calls at 3 AM when its workload runs at noon
• Geographic anomalies — credentials used from IP addresses or regions inconsistent with their normal usage
• Volume spikes — a sudden increase in API calls, data access, or OAuth token refreshes that could indicate data exfiltration or token harvesting
• New OAuth grants — a user authorizing a new application with broad scopes, especially one not on your approved list
• Credential exposure — API keys or tokens found in public repositories, code commits, or exposed configuration files

Practical starting point: Start with monitoring for orphaned credential usage (an NHI that was supposed to be decommissioned but is still being used) and new OAuth grants with high-risk scopes. These are high-signal detections that don't require extensive baselining.

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Common NHI Security Gaps and How to Close Them

Across organizations we've worked with, the same NHI security gaps appear repeatedly. Here's how to close them:

Gap 1: No inventory of OAuth tokens. OAuth grants are the primary way SaaS applications and AI agents access data, yet most security teams have no centralized view of which tokens exist, what scopes they carry, or who authorized them. Fix: Implement automated OAuth discovery across your SaaS estate. Inventory every active grant, its scopes, the authorizing user, and the receiving application. Revoke grants that are unused or over-scoped.

Gap 2: Service accounts with standing admin privileges. Service accounts are frequently created with admin access for convenience and never scoped down. These accounts are prime targets because they bypass MFA and human oversight. Fix: Audit all service accounts for privilege level. Move admin service accounts to just-in-time access where possible. Where standing access is required, enforce strict monitoring and regular recertification.

Gap 3: API keys embedded in code and pipelines. Developers hardcode API keys in scripts, CI/CD configurations, and infrastructure-as-code templates. These keys end up in version control, shared repositories, and sometimes public repos. Fix: Scan code repositories and pipelines for exposed credentials. Move all secrets to a managed secrets store. Implement automated detection for credentials committed to version control.

Gap 4: No ownership or accountability. NHIs are created by developers, contractors, and automated processes — then abandoned. Without ownership, no one is responsible for rotating, reviewing, or decommissioning them. Fix: Require an owner at NHI creation time. For existing NHIs with no owner, assign one or decommission. Make ownership a required field in your NHI inventory.

Gap 5: AI agent permissions inherited without review. When an AI agent is deployed, it often inherits the full permissions of the user who authorized it. No one reviews whether the agent actually needs all of those permissions. As Cycode notes, "AI breaches almost all begin with an access control failure" — over-permissioned service accounts and unaudited agent permissions are the root cause. Fix: Treat every AI agent deployment as a new identity that requires scoped permissions, not inherited ones. Review and restrict agent OAuth scopes at provisioning time.

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NHI Management in the AI Agent Era

The rise of AI agents is making the NHI problem worse — and more urgent. Every AI agent that connects to your SaaS applications, reads your data, or takes actions on behalf of users is a new non-human identity. And unlike a service account that sits in one system, an AI agent can move across multiple platforms, chain OAuth grants, and take autonomous actions at machine speed.

Grip's Rule of 17 found that organizations now average approximately one AI agent for every 17 identities. The ratio illustrates how quickly AI agents are becoming a meaningful part of the enterprise identity population.

This creates three new challenges that traditional NHI management doesn't address:

• Agent chaining. AI agents don't just use one credential — they chain across multiple SaaS applications, each with its own OAuth grant and permission scope. A single agent might access your CRM, your collaboration platform, your code repository, and your data warehouse, each through a separate token. You need to see the full chain, not just individual credentials.
• Inherited permissions. Agents typically inherit the permissions of the user who authorized them. If that user is an admin, the agent is an admin — with no additional review. This is how AI agent security failures happen: not through sophisticated exploits, but through over-permissioned inherited access.
• Autonomous action at scale. A compromised service account might exfiltrate data. A compromised AI agent can take actions — sending messages, modifying records, creating new credentials — across multiple systems simultaneously. The blast radius is fundamentally different.

The implication is clear: AI risk is fundamentally identity risk. Agents act through identities, access data through OAuth grants, and inherit permissions from human users. If you're managing NHIs effectively, you're managing AI agent risk. If you're not, every AI deployment adds unmanaged attack surface.

Managing NHIs in the AI era also means recognizing that SaaS integrations are a supply chain attack surface. Every OAuth connection between your SaaS applications is a potential path for lateral movement. Every API key shared between services is a credential that an attacker — or a compromised agent — can exploit.

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How Grip Security Manages Non-Human Identities

Grip Security's identity-driven SaaS security platform was built to address the NHI challenge at its root. Rather than treating NHIs as an add-on to human-centric IAM, Grip starts with identity as the control plane — discovering, mapping, and governing every identity in your SaaS environment, human and non-human alike.

Continuous NHI discovery. Grip automatically discovers service accounts, API keys, OAuth tokens, and AI agent credentials across your SaaS applications — no manual inventory required. The platform maintains a live inventory that updates as new credentials are created, so you always have an accurate picture of your NHI population.

OAuth governance. Grip maps every OAuth grant to its authorizing user, receiving application, and permission scopes. You can see which tokens carry excessive scopes, which have been unused, and which connect to unapproved applications — then revoke them with a single action.

Access mapping and ownership. Grip connects each NHI to its owner and the workloads it serves, so you can identify orphaned credentials, over-permissioned service accounts, and AI agents operating without oversight. When you can map ownership, connect identities to workloads, certify access based on evidence, rotate credentials safely, and detect anomalous behavior, audits stop being a scramble, and production stops being the excuse.

Automated remediation. Grip doesn't just flag problems — it automates the remediation. Over-permissioned service accounts are right-sized. Orphaned credentials are flagged for decommissioning. Excessive OAuth scopes are identified for revocation. The platform turns NHI management from a manual, reactive process into an automated, continuous one.

Real-time monitoring. Grip monitors NHI behavior in real time, detecting anomalous access patterns, unusual OAuth activity, and credential exposure. When an AI agent starts accessing resources outside its normal pattern, or a service account is used from an unexpected location, Grip alerts your team immediately.

The results speak to the scale of the problem and the effectiveness of an identity-first approach: Grip protects 125 million users, holds 7 patents in AI and SaaS security, and 95.5% of customers prevented multiple AI and SaaS breaches in 2025.

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Frequently Asked Questions

What is the difference between a human identity and a non-human identity?

A human identity represents a person who authenticates with credentials they know (passwords, MFA) and follows a lifecycle tied to employment. A non-human identity represents a machine, application, service account, API key, OAuth token, or AI agent that authenticates programmatically — without a human in the loop. NHIs don't have a natural offboarding process, don't use MFA, and often accumulate permissions over time without review.

How many non-human identities does a typical enterprise have?

NHIs outnumber human users by 25 to 50 times in modern enterprises. On average, organizations have over 80 machine identities per employee, with the ratio climbing to 40,000:1 in cloud-native environments. Machine identity counts grew from approximately 50,000 in 2021 to 250,000 by 2025, and AI agent deployment is accelerating this growth.

Why are OAuth tokens a particular risk for NHIs?

OAuth tokens are long-lived, inherit the full permission scope of the authorizing user, and often remain valid even after a user logs out or leaves the organization. Attackers actively harvest these tokens because they provide persistent access without requiring a new login. Most security teams have no centralized inventory of OAuth grants, making them a primary blind spot.

How do AI agents change NHI management?

AI agents are a new class of NHI that operates autonomously, chains across multiple SaaS applications, and inherits permissions from human users. Every AI agent deployment creates or touches approximately 17 identities. Because agents can take actions at machine speed across multiple systems, a compromised or over-permissioned agent has a much larger blast radius than a traditional service account.

‍What is the first step in managing NHIs at scale?

Discovery. You cannot govern what you can't see. Start by building a continuous, automated inventory of every service account, API key, OAuth token, and AI agent credential in your environment. Prioritize OAuth grants and admin-level service accounts first, as these carry the highest risk. Once you have visibility, you can move to mapping access, enforcing least privilege, and monitoring for anomalies.