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Buyer’s Guide

Governing the Invisible: The Rise of Non-Human and Agentic Identity

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Introduction: The Identity Population Explosion

Identity governance used to be synonymous with human governance.

  • HR created a user
  • IT provisioned access
  • MFA reduced account takeover
  • Quarterly access reviews produced audit evidence

That model assumed the dominant “workforce” was made of employees and contractors.

Even now, the dominant workforce is invisible.

  • Service accounts and service principals run production workloads
  • API keys and tokens connect SaaS apps to each other
  • CI/CD pipelines deploy infrastructure continuously
  • Kubernetes service accounts authenticate inside clusters every second
  • Certificates and mTLS identities keep machine-to-machine traffic alive

And now a new class is accelerating the explosion: agentic AI. These systems do not just recommend what to do. They execute. They orchestrate workflows. They delegate to sub-agents. They spawn credentials. They act as proxies for humans inside the enterprise.

The uncomfortable reality is that most organizations have spent years perfecting human MFA, SSO, and phishing resistance, while the “non-human layer” has grown into a sprawling, over-privileged attack surface.

To secure the modern cloud-native enterprise, organizations must move beyond human-centric IAM toward:

  • Workload Identity and Access Management (WIAM) for machine and workload authentication/authorization
  • IGA-style governance for NHIs, including ownership, certification, lifecycle controls, and evidence
  • Agent-aware controls that support autonomy without creating permanent standing privilege

This is not a net-new security category. It is the identity category adapting itself to the new world.

Taxonomy of the Modern Workforce: Human vs. Non-Human

If identity is the unit of access, then governance starts with classification. Not all identities behave the same, and treating them as one population is how review programs collapse under scale.

Human identity

Humans are interactive and bounded by sessions.

  • Predictable manual behavior
  • Explicit login events
  • Supported by MFA and SSO
  • Access tends to map to a job function
  • Reviews are feasible because volumes are manageable and semantics are familiar

Humans still matter. But they are no longer the dominant source of authorization events in modern enterprises.

Non-Human Identity (NHI)

NHIs are software-based identities used by machines, services, and automated processes.

Common NHI categories include:

  • Service accounts and service principals
  • API keys, access tokens, long-lived tokens
  • Kubernetes service accounts
  • Workload identities for VMs, containers, serverless
  • OAuth clients and signed JWTs
  • Secrets stored in secret managers
  • SaaS bots and integrations
  • IoT and device identities
  • AI/LLM agent identities (emerging and rapidly expanding)

NHIs are always-on and operational by nature. They exist to keep business processes running quietly in the background.

Machine identity

A specialized subset of NHIs focused on machine-to-machine trust.

  • Certificates, PKI, mTLS identities
  • SSH keys
  • Hardware-backed identities (TPM/HSM)
  • Device fleets and IoT identities

Machine identity problems often show up as outages (expired certs) and as vulnerabilities (mis-issued or rogue certs).

Agentic identity

The new frontier, and the most dangerous to secure using legacy assumptions.

Agentic identities are AI systems that:

  • Make independent decisions at runtime
  • Delegate tasks to tools and sub-agents dynamically
  • Often spawn or reuse NHIs to execute workflows
  • Act as “delegated proxies” for humans, but without human session boundaries

The shift is not just “more identities.” It is a new execution model where authority propagates across chains of actions.

The Agentic Shift: Gartner’s Prediction

The reason this topic moves from “important” to “mandatory” is that the enterprise software stack is being rebuilt around autonomous execution.

  • Agentic AI doesn’t just provide advice; it initiates and completes actions
  • This changes the blast radius of compromised credentials from “account takeover” to “workflow takeover”
  • It increases the number of ephemeral identities created during execution chains

A widely-cited industry prediction is that by 2028, a meaningful share of enterprise applications will embed agentic AI, growing from near-zero adoption in 2024. Whether the exact percentage lands at 25% or 35%, the direction is the point: the execution surface is expanding fast.

The security blind spot

Agentic workflows typically rely on mechanisms that were designed for deterministic automation, not autonomy:

  • Service accounts with broad permissions
  • OAuth tokens with large scopes
  • API keys that cannot be constrained by intent
  • “Standing privilege” granted to avoid runtime failures

What’s new is not merely that NHIs exist. It’s that agentic systems are now:

  • Creating more NHIs
  • Using them more frequently
  • Making authorization decisions at runtime
  • Amplifying the damage of small weaknesses (a prompt injection that causes an agent to call a privileged tool)

This is where identity governance must evolve from periodic attestation to continuous, execution-aware control.

Why Traditional Governance Fails NHIs

Most IGA programs fail with NHIs for reasons that are structural, not operational.

The visibility crisis

NHIs are rarely created through controlled HR-driven workflows.

  • Created inside CI/CD pipelines
  • Spawned by infrastructure-as-code
  • Established by citizen developers connecting SaaS tools
  • Generated in cloud consoles by engineers under time pressure
  • Issued by PKI systems without consistent ownership tags

Even organizations with strong access review programs often cannot answer a basic question:

  • “How many non-human identities do we have, and who owns them?”

Over-provisioning by default

NHIs get broad privileges early because teams are optimizing for uptime.

  • “If the build breaks, we miss the deadline”
  • “If the deployment fails, we roll back”
  • “If the integration fails, sales escalates”

So the path of least resistance becomes:

  • Start with admin rights
  • Never revisit
  • Accumulate privilege creep over time

This is the inverse of least privilege. It’s least friction.

The “MFA impossible” problem

Humans can be challenged. Workloads cannot.

  • No push approvals
  • No biometrics
  • No hardware keys
  • No interactive login

Which means many of the last decade’s best defenses are irrelevant to the identities that run production.

Persistence risk and “zombie” entry points

Humans offboard. NHIs rarely do.

  • Projects end but service accounts remain
  • Integrations are replaced but OAuth tokens persist
  • Certificates rotate inconsistently
  • Keys remain in repos, scripts, or vaults without expiry

A dormant NHI with admin rights is the perfect compromise target: it won’t complain, and nobody is watching.

Scale breaks review programs

A 10K-employee enterprise can easily have hundreds of thousands of NHIs across cloud, SaaS, and infrastructure.

Traditional access reviews are built around:

  • A manageable population
  • Familiar semantics (roles, groups, apps)
  • Human reviewers who can interpret entitlements

NHIs break all three:

  • Population is massive
  • Entitlements are technical and opaque
  • Reviewers cannot determine business impact without context

This is the central challenge: NHI governance must be IGA-like in rigor, but not IGA-like in manual effort.

Strategies for Governing the Invisible in 2026

Governing NHIs is not one control. It is a system. The most successful programs converge on five pillars: inventory, ownership, least privilege, lifecycle, and continuous review.

Workload Identity and Access Management (WIAM)

WIAM is the bridge between machine authentication constructs and modern authorization control.

Goals:

  • Replace static credentials where possible
  • Make access dynamic and policy-driven
  • Tie workload identity to environment, service, and purpose

Key implementation patterns:

  • Prefer short-lived credentials (OIDC tokens, IAM roles, SPIFFE SVIDs)
  • Scope access by workload identity (service, namespace, project)
  • Enforce environment boundaries (dev vs staging vs prod)
  • Use conditional constraints to prevent credential reuse outside intended contexts

WIAM is how you make non-human authentication modern. Governance is how you make it safe.

Extend access reviews and certifications to NHIs

The governance leap is simple to say and hard to operationalize:

Treat NHIs as first-class identities in access certification.

What “NHI certifications” should validate:

  • Ownership: who is responsible
  • Purpose: what workflow/business process it supports
  • Entitlements: what it can do, in human-readable terms (CRUD, datasets, admin actions)
  • Usage: last used, frequency, and whether granted permissions are actually exercised
  • Risk: privilege level, exposure, anomalies, key age, rotation posture

Who should review:

  • App owners and system owners for service accounts
  • Dev leads or API owners for tokens and keys
  • PKI/CLM owners for certificates
  • K8s admins and platform owners for service accounts and RBAC bindings
  • Data governance for agent identities touching sensitive datasets

The mistake to avoid is trying to review everything. The correct approach is to review what matters most, consistently, with evidence.

Credential lifecycle management

Lifecycle is where NHIs differ most sharply from humans.

Governance expectations for NHIs should include:

  • Rotation and expiry policies
  • Deprecation tracking (active vs deprecated vs orphaned)
  • Retirement workflows tied to application/workload decommissioning

Practical rules that drive outcomes:

  • No long-lived secrets without an owner and rotation schedule
  • No credentials without an expiry date unless technically impossible, and then compensated with compensating controls
  • Rotation evidence must be available for audit (logs, vault metadata, CLM reports)

A key nuance: rotating is not the hard part. Understanding impact is.

So lifecycle governance must include context enrichment:

  • What used this credential in the last 90/180 days?
  • Which services or pipelines depend on it?
  • What would break if it were revoked?

Without that context, teams delay rotation forever.

Contextual guardrails that exploit NHI predictability

NHIs are not roaming employees. They should behave predictably.

Guardrails that work well:

  • IP range restrictions and network constraints
  • Workload-bound constraints (namespace, cluster, region)
  • Time-of-day constraints for certain automation identities
  • “Break-glass” elevation paths instead of always-on admin

The design principle is simple:

  • If an identity is supposed to run inside production in a specific region, it should not function outside that boundary.

Human-in-the-loop for high-risk agent actions

For agentic systems, the hardest question is: how do you preserve autonomy without granting standing privilege?

The pattern is conditional authority:

  • Agents can propose actions freely
  • High-risk actions require explicit approval
  • Approval is logged, evidence is retained, and authority is time-bound

Examples of high-risk actions:

  • Exporting data from sensitive systems
  • Changing access policies
  • Creating new privileged identities
  • Moving data across trust boundaries

Mechanisms can include OAuth-based step-up approvals such as CIBA, or internal workflow approvals that bind authorization to a specific task context.

The principle is not “slow down agents.” It is “bind authority to intent.”

What does IGA look like for NHI?

This is the opportunity most of the market is missing. Many vendors focus on detection and inventory (find the NHIs). That matters, but it is not governance. Governance is what auditors will ask for and what enterprises ultimately need to operationalize risk reduction.

The IGA extension: NHI as a first-class citizen

What changes when you treat NHIs like identities in IGA?

  • Ownership becomes mandatory, not optional
  • Purpose and justification are captured, not implied
  • Entitlements are certified, not merely discovered
  • Lifecycle is governed, not left to drift
  • Evidence exists, not anecdotes

The operating model: from “review everything” to “review what matters”

To make this real at enterprise scale, the program needs a prioritization layer.

A workable NHI governance system includes:

  • A unified inventory across cloud IAMs, secrets managers, PKI/CLM, K8s, and SaaS
  • A risk scoring model that prioritizes:
    • privileged access
    • unused permissions
    • external exposure
    • missing owner
    • stale credentials / overdue rotation
    • anomalous usage
  • A review experience that surfaces a “priority inbox” rather than a raw universe of identities

Instead of reviewers drowning in 300K objects, they adjudicate the 1K that actually represent material risk.

The metadata contract: governance without secrets

One of the most important implementation principles is:

  • Governance requires metadata, not secret values.

For each NHI, governance should ingest:

  • Identity data: ID, type, creation date, creator, owning system
  • Lifecycle data: expiry, rotation date, last rotated, status
  • Usage data: last used, frequency, permission usage vs granted
  • Linkages: app, project, pipeline, team, human sponsor
  • Risk context: privilege level, exposure, anomalies

This is enough to make decisions and generate evidence, without creating a “secret aggregator” risk.

The BalkanID Advantage: Visualizing the Non-Human Web

The hardest part of NHI governance is not discovering identities. It is understanding relationships and impact.

BalkanID’s framing is that NHIs are not standalone objects. They are nodes in a web:

  • A human creates a pipeline
  • A pipeline creates a service principal
  • A service principal pulls secrets from a vault
  • Those secrets access a database
  • An agent uses that database to answer questions
  • That agent spawns ephemeral tokens to call downstream tools

If you can’t visualize that chain, you can’t govern it.

The Identity Knowledge Graph for NHIs

BalkanID’s approach is to model NHIs and their dependencies as a graph, connecting:

  • Humans to the NHIs they sponsor or created
  • Workloads to the identities they use
  • Tokens/keys/certs to the systems they access
  • Permissions to usage and environment context

This turns NHI governance from a list into a map, which is the only format reviewers can reason about at scale.

ISPM for NHIs: from periodic audits to continuous posture

Static audits will always lag behind reality in modern environments.

Continuous posture management for NHIs focuses on:

  • newly created unowned identities
  • privilege expansion events
  • missing rotation/expiry posture
  • anomalous usage patterns
  • standing admin access without justification

This is how you detect misconfigurations before they become incidents.

Natural language remediation with guardrails

Remediation fails when it’s either manual toil or risky automation. The middle path is:

  • natural language querying to find issues fast
  • explainable results tied to metadata and rationale
  • workflow-driven remediation where humans decide and systems execute safely

Example queries that matter:

  • “Which service accounts have admin access but have not used admin actions in 90 days?”
  • “Which API keys have no owner and are used from outside expected IP ranges?”
  • “Which agent identities can access sensitive datasets without a recorded approval ticket?”

And then: trigger revocation/rotation playbooks with evidence.

This is the posture shift: from “find things” to “govern and fix continuously.”

Conclusion: Securing the Autonomous Future

Non-Human Identities are the foundation of the cloud-native enterprise.

  • They deploy infrastructure
  • run integrations
  • move data
  • operate production services
  • and now, power autonomous AI systems

Yet they are still treated as second-class citizens in identity governance.

In summary,

  • NHIs outnumber humans and operate continuously
  • Traditional IAM controls don’t apply (MFA, interactive sessions)
  • Traditional access reviews don’t scale without prioritization and context
  • Agentic AI increases both the number of NHIs and the complexity of delegated authority

To be prepared, Security teams need to operationalize NHI governance as a program:

  • full inventory
  • clear ownership
  • least privilege enforcement
  • credential lifecycle discipline
  • continuous review with risk-based prioritization
  • agent-aware human-in-the-loop guardrails for sensitive actions

If identity is the new perimeter, the invisible non-human layer is where that perimeter is thinnest. Governing it is no longer optional. It is the next chapter of identity security as we adapt to the new world.

NHI Management Best Practices Checklist

Visibility: Inventory and ownership

  • Build a unified catalog across cloud IAM, K8s, secrets managers, PKI/CLM, and SaaS
  • Assign a human owner to every NHI (auto-suggest owners, enable self-claiming)
  • Tag each NHI with purpose, environment, and owning system/team

Authentication: Modernize machine auth

  • Prefer short-lived credentials (OIDC tokens, IAM roles, SPIFFE SVIDs)
  • Reduce reliance on static credentials (API keys, long-lived tokens, passwords)
  • Enforce approved CA and certificate policies for machine identity

Authorization: Remove standing privilege

  • Replace “always-on” admin with dynamic JIT elevation where possible
  • Implement purpose-based access for high-risk workflows
  • Constrain entitlements by environment boundaries (prod vs non-prod)

Monitoring: Make misuse obvious

  • IP range restrictions and network constraints for service identities
  • Alert on anomalous usage and new privileged grants
  • Detect dormant privileged identities (zombie NHIs)

Governance: Certify like humans, at machine scale

  • Extend access certifications to NHIs (service accounts, tokens, certs, agent identities)
  • Use risk-based prioritization so reviewers adjudicate what matters
  • Maintain evidence: approvals, rotation posture, usage context, and remediation logs

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