Identity security for every identity: what CyberArk’s message changes

At a glance

What this is: This is a vendor view of identity security that treats human, machine and AI identities as one governance problem, with the core claim that breaches persist because privilege and lifecycle controls are not applied consistently across identity types.

Why it matters: IAM, PAM and NHI teams need to align discovery, privilege and lifecycle controls across all identity classes because the same governance gap can be exploited through very different actors.

By the numbers:

• 87% of organisations have experienced at least two successful identity-related breaches.

Context

Identity security is the discipline of controlling who or what can authenticate, obtain privilege, and keep that access over time. In this article, CyberArk frames that problem across workforce users, machines and AI, arguing that the same governance model must cover very different identity behaviours across the enterprise.

The gap is not just inventory. It is the mismatch between static governance processes and identities that are provisioned, delegated, rotated or discarded at different speeds, especially where supply chain access and machine-to-machine connectivity expand the attack surface.

That framing is typical for the current market conversation: identity is being positioned as the control plane for both operational access and breach containment, but the hard question is whether one control model can actually govern every identity type equally well.

Key questions

Q: How should security teams build identity governance across humans, machines, and AI agents?

A: Start with a single inventory that records identity type, ownership, access scope, and system relationships across human users, service accounts, tokens, and AI agents. Then align IAM, PAM, and security monitoring around the same data so entitlement review, anomaly detection, and offboarding use one governance picture instead of three disconnected ones.

Q: Why do privilege controls fail when one model is applied to every identity type?

A: Because the access path is different. Human users are usually governed through sessions and roles, while NHIs depend on secrets and tokens, and autonomous actors may select tools or actions dynamically. A single control model blurs those differences and leaves gaps where privilege can be reused, inherited or overextended.

Q: What breaks when access reviews are the primary identity control?

A: The control breaks because access can change, be abused, and disappear between review cycles. Review-based governance produces documentation, but not continuous enforcement. In practice, that means investigators can find clean records even when the environment had excessive access at the exact moment the incident occurred.

Q: What does supply chain identity security change for accountability?

A: It makes delegated access and third-party identities part of the core governance boundary. If a supplier, partner or integrator can reach sensitive resources through an identity you do not directly manage, accountability has to include ownership, time limits and revocation discipline, not just contract language or vendor assurance.

Technical breakdown

Continuous discovery across workforce, machine and AI identities

Identity security starts with knowing what exists, but discovery has to extend beyond employee directories. Machine identities, service accounts and AI-driven actors often appear in cloud, on-premises and developer workflows long before they are formally governed. In practice, the technical problem is inventory drift: identities are created by systems, projects and pipelines faster than they are registered in IAM or IGA tooling. That creates blind spots in privilege assignment, ownership and offboarding. A unified discovery layer helps map those identities to context such as system, function and risk, but only if the source-of-truth process is kept current.

Practical implication: Practitioners should reconcile discovery feeds against lifecycle ownership records so every identity has a named governance path.

Privilege controls for non-human identities and AI actors

Privilege control is not a single mechanism. For human users it often means session governance and role scoping, while for NHI it includes secrets, tokens, certificates and workload permissions that can be used without interactive oversight. AI agents complicate this further because the actor may request access dynamically during runtime, then chain tools or services in ways that were not predictable at provisioning. That means least privilege cannot be assessed only at account creation. It has to be enforced at issuance, task scope and execution boundary, with controls that understand delegation chains and tool reach.

Practical implication: Security teams should separate human entitlement models from NHI and agent execution permissions before setting privilege policy.

Lifecycle management and access review at enterprise scale

Lifecycle management is the control that keeps identity security from becoming stale. Joiners, movers and leavers apply to humans, but the same logic also applies to machines and AI identities that are spun up, repurposed or retired. The practical challenge is that review cadences, attestation workflows and entitlement certifications often assume a stable subject with a long enough lifespan to inspect. That assumption breaks when identities are ephemeral, delegated or created by automation. Governance therefore has to couple provisioning, review and revocation into one operational loop rather than treating them as separate programmes.

Practical implication: Teams should tie access review triggers to identity lifecycle events, not just calendar-based recertification cycles.

Threat narrative

Attacker objective: The objective is to turn one identity compromise into broad access across critical systems, business processes and supply chain-connected resources.

1. Entry begins when a workforce, machine or AI identity is created or exposed with access that is broader than its actual task requires.
2. Escalation occurs when that identity can reuse tokens, credentials or delegated permissions across connected systems and supply chain workflows.
3. Impact follows when the compromised identity provides a bridge into sensitive resources, allowing an attacker to move through enterprise applications and trust relationships.

Breaches seen in the wild

• Scania insurance portal breach 2025: An attacker used an external user login, likely stolen by infostealer malware, to take insurance claim documents from a Scania portal.
• reviewdog Action compromise 2025: A stolen maintainer token poisoned reviewdog/action-setup, leaking CI secrets including the tj-actions bot token used in the next attack.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity security is now a cross-actor governance problem, not a product category. Once workforce, machine and AI identities are all part of the same enterprise attack surface, the programme question changes from coverage to control consistency. The issue is whether the same policy fabric can govern interactive users, service identities and runtime actors without creating blind spots. Practitioners should treat identity security as a lifecycle discipline first and a tooling decision second.

Privilege is the common currency, but the control points are not the same. Human access is reviewed, NHI access is issued and rotated, and autonomous behaviour introduces runtime decision-making that cannot be governed only at provisioning time. That means the security model has to distinguish between static entitlement, credential exposure and execution authority. The practitioner implication is that one entitlement model cannot be stretched across all identity types without weakening enforcement.

Access review processes assume an identity exists long enough to be certified. That assumption is designed for relatively stable subjects. It fails when identities are provisioned, used and retired through automation or when AI agents can obtain and discard permissions inside a single operational window. The implication is that governance must shift from periodic attestation to event-linked control, because the old review cadence no longer matches the behaviour being governed.

Unified identity security will reshape the market around governance breadth, not just deep PAM. Vendors are increasingly arguing that the hard problem is no longer isolated privileged access, but how privilege, discovery and lifecycle controls behave across every identity class. That signals a move toward platforms that can connect human IAM, NHI governance and agent oversight in one operating model. Practitioners should evaluate whether their controls can actually span those boundaries or only describe them.

Supply chain access should be treated as an identity governance boundary, not an adjacency concern. The article links identity compromise to collaboration across the supply chain, which is where many programmes still lose ownership clarity. That makes third-party identity oversight part of core governance rather than a vendor risk side track. Security teams should expect identity programmes to absorb more supplier and delegated-access accountability over time.

From our research library:

• 92% of organisations expose NHIs to third parties, raising concerns about supply chain security, according to the Ultimate Guide to NHIs.
• Read next: Ultimate Guide to NHIs — Key Challenges and Risks

What this signals

Identity governance is moving from directory-centric control to behaviour-centric control. That shift matters because the same account object can represent a person, a workload or an autonomous actor, but each behaves differently once access is issued. Programmes that still treat all identities as equivalent will keep missing the point where privilege actually becomes exploitable.

Supply chain identity oversight will become a board-level governance issue. When identity compromise can propagate through partners and connected systems, third-party access is no longer a peripheral trust problem. It becomes part of the organisation’s identity blast radius, and that should change how security teams scope governance, attestation and revocation.

For practitioners

• Map every identity class to a named owner Separate workforce, machine and AI identities in your governance model, then assign an accountable owner for each class so discovery, review and offboarding do not rely on a single directory record.
• Split privilege policy by identity behaviour Define different entitlement rules for humans, NHIs and AI actors so session controls, secret use, and delegated execution are governed according to how the identity actually behaves.
• Tie lifecycle events to review triggers Trigger access certification when identities are created, repurposed or retired, rather than relying only on calendar-based recertification that may miss short-lived or automated identities.
• Harden third-party identity oversight Track external identities and delegated access as first-class governance objects, including ownership, time bounds and revocation conditions, because supply chain connectivity expands the blast radius of compromise.

Key takeaways

• The article frames identity security as a cross-actor governance problem spanning people, machines and AI-driven systems.
• Its strongest message is that access control only works when privilege, lifecycle and ownership are aligned to the behaviour of the identity being governed.
• Security teams should redesign governance so discovery, review and offboarding can cope with different identity lifecycles and supplier-connected access paths.

Key terms

• Identity Security: Identity security is the discipline of governing who and what can access systems, data, and tools, then proving those decisions are enforced. In practice it spans human users, service accounts, tokens, certificates, and AI agents across the full access lifecycle.
• Non-Human Identity (NHI): A digital identity assigned to a non-human entity such as a software application, service account, API key, bot, machine, or AI agent that enables it to authenticate and interact with systems without direct human involvement. NHIs now outnumber human identities in most enterprises by 25 to 50 times.
• Privilege Controls: Privilege controls are the mechanisms that limit what an identity can do after it is authenticated. In non-human environments, they include scoped credentials, session limits, entitlements, approval rules, and context-based enforcement that reduce the blast radius of compromise.
• Lifecycle Management: Lifecycle management is the process of creating, reviewing, rotating, and retiring identities and their secrets in a controlled way. For NHIs, it is essential because stale credentials, orphaned accounts, and incomplete offboarding are common paths to long-lived exposure and unauthorised access.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.