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Mar 11, 2026 | 5 min

Why Access Governance Must Include Tokens, APIs, and Agents

Christian Simko

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Access governance still centers on people. But in modern IT, machines dominate, requiring a new security approach.

Tokens, APIs, service accounts, and AI agents now outnumber human users and operate continuously. Yet governance rarely extends to them.

The result is a major portion of the attack surface left unmanaged. As machine identities proliferate, governance must evolve to treat them as first-class identities, not exceptions—making identity-first governance essential.

The Shift from Human Identities to Machine Identities.

In cloud-native and AI-driven environments, most authentication now happens between machines, not people. However, unlike human users, these machine identities:

Operate 24/7
Scale automatically
Can generate or request new credentials
Often lack lifecycle governance

Traditional access governance, designed for people rather than machines, leads to unaccountable access and a security model that can’t keep up.

Why Traditional Access Governance Falls Short

Traditional Identity and Access Management (IAM) programs were built for people—managing onboarding, roles, MFA, and periodic access reviews. That human-centric model assumes identities:

Log in through SSO
Respond to MFA
Appear in access reviews

Machine identities do none of these. Instead, organizations often accumulate:

Long-lived API keys
Automatically renewing tokens
Over-privileged service accounts
Autonomous agents with unchecked permissions

The gap becomes clear when human and machine identities are compared.

Human-Centric vs Machine-Centric Access Risks

Category	Human Identities	Machine Identities (Tokens, APIs, Agents)
Lifecycle	Onboarded/offboarded manually	Often created automatically
Authentication	MFA, SSO, password policies	Tokens, API keys, certificates
Visibility	Centralized in IAM systems	Scattered across platforms
Behavior	Periodic certifications	Rarely reviewed or revoked
Compromise	Intermittent, user-driven	Continuous, automated activity
Impact	Limited by session duration	Can enable persistent, automated access

The Rise of Tokens, APIs, and AI Agents

Three important trends are reshaping access and accelerating the need for machine identity governance:

1. Token-Based Authentication Everywhere

Short-lived tokens reduce password risk. But if a compromised identity can continuously request new ones, the access persists.

2. API-Driven Architectures

Microservices, SaaS integrations, and automation pipelines all depend on APIs. Each integration introduces:

API keys
OAuth tokens
Service accounts

Without governance, these credentials accumulate and expand the attack surface.

3. Autonomous and Agentic AI Systems

AI agents are starting to take on more responsibility across modern environments. Many can now:

Retrieve data
Call APIs
Execute workflows
Make decisions without human approval

Each agent adds another identity. When those agents can request tokens automatically, sprawl accelerates, and governance gaps multiply.

Common Governance Gaps in Machine Identities

Governance Area	Traditional Approach	Modern Machine Identity Reality
Access Reviews	Focus on employees and contractors	Tokens and service accounts rarely reviewed
Credential Rotation	Enforced for user passwords	API keys often persist for years
Least Privilege	Role-based for users	Over-scoped tokens and APIs common
Session Monitoring	User session analytics	Token activity often invisible
Revocation	Immediate offboarding for users	Tokens remain active after workload changes
Audit Trails	User-centric logs	Limited traceability for machine actions

How Persistent Access Happens in Token-Based Cloud Environments

This kind of risk isn’t theoretical. It regularly occurs in routine cloud environments. Consider a common Kubernetes scenario:

A container runs under a service account that provides identity for API access.
The service account requests a short-lived authentication token roughly every 10 minutes.
An attacker compromises the container.
The attacker extracts the service account credentials.
The adversary can now generate their own short-lived tokens and operate with the container’s permissions.

The result is a subtle but critical shift: the attacker is no longer breaking into the system—they are simply continuing the system’s normal authentication process.

Why Access Governance Must Evolve

Extending access governance to tokens, APIs, and agents delivers three major benefits:

1. Reduced Attack Surface

By tracking and managing all credentials, not just human users, organizations can eliminate unused or risky machine identities.

2. Improved Compliance

Frameworks like SOC 2, ISO 27001, and NIST require control over all identities, including non-human ones, making unmanaged tokens and service accounts a clear compliance risk.

3. Greater Operational Visibility

Governance brings critical visibility into system interactions, token activity, and privileged agents, helping teams detect and respond to threats faster.

Core Capabilities of Modern Access Governance

To address these challenges, organizations should expand access governance programs to include machine identities.

Machine Identity Inventory: Maintain a real-time inventory of all machine identities—API keys, tokens, service accounts, and AI agents.

Token Lifecycle Management: Enforce expiration, rotation, revocation triggers, and continuous monitoring.

Least-Privilege Enforcement: Grant each machine identity only the access it needs.

Behavioral Monitoring: Monitor token, API, and agent behavior and flag anomalies such as unusual token requests or unexpected API activity.

A New Model: Identity-First Governance

Traditional security strategies focused on protecting networks and endpoints. But modern environments operate differently, requiring a new approach to IAM.

As digital systems become more automated and interconnected, identity has effectively become the new perimeter. When tokens, APIs, and autonomous agents are governed alongside human users, organizations gain the visibility and control needed to operate with confidence.

The rise of machine identities means that governance must expand beyond people to include every machine identity that can access critical systems.

FAQ: Machine Identities and Modern Access Governance

‍Do machine identities outnumber human users?

Today, yes, and that gap is widening fast. In most cloud, SaaS, and AI-driven environments, service accounts, tokens, and API keys now exceed human users due to automation and integrations.

‍Why are tokens, APIs, and agents a security risk?

They enable continuous, automated access. If compromised, they can provide attackers with ongoing, legitimate access without triggering typical user alerts.

Don’t traditional IAM programs manage these identities?

Most IAM programs focus on human users, leaving tokens, service accounts, and AI agents outside standard governance processes.

‍What’s the risk of not governing machine identities?

Attackers can use compromised tokens or service accounts to maintain long-term, undetected access, especially when credentials renew automatically.

‍What should modern access governance include?

Full lifecycle management for all identities, human and machine, including discovery, access reviews, least-privilege controls, token lifecycle management, and continuous monitoring.

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