Identity security as the control plane for 2026 CISO strategy

At a glance

What this is: CyberArk argues that identity security has become the control plane for modern cybersecurity, with IAM, PAM, secrets management, and ITDR converging around human, AI, and machine identities.

Why it matters: For IAM and NHI practitioners, the core implication is that identity governance now determines containment, verification, and business resilience across every access path.

By the numbers:

• Organizations that encourage IAM and cybersecurity collaboration can see a 30% improvement in IAM outcomes.
• A written IAM strategy can improve organizational IAM goals of reducing loss and increasing business agility by 42%, yet nearly half 48% admit they lack one.

👉 Read CyberArk's analysis of identity security as the foundation for 2026 CISO strategy

Context

Identity security is the discipline of controlling who or what can access systems, data, and tools, then verifying that access continuously. In this post, the primary issue is not a missing tool category but a governance gap: too many organisations still treat IAM as administration rather than a strategic control for NHI, cloud, and AI-driven environments.

That matters because non-human identities now expand the attack surface far faster than manual governance processes can track. When service accounts, secrets, workloads, bots, and AI agents all rely on identity decisions, the real question is whether the enterprise can see, rank, and constrain those identities before access becomes a security liability.

Key questions

Q: How should security teams govern non-human identities in zero trust environments?

A: They should treat non-human identities as first-class identities with owners, scoped entitlements, and revocation paths. Zero trust only works when machine access is continuously verified, time-bound where possible, and monitored for abnormal behavior. The goal is not more authentication steps. The goal is to make every NHI accountable, discoverable, and removable when its purpose ends.

Q: What is the difference between IAM and PAM for machine identities?

A: IAM establishes who or what can authenticate and what baseline access it should have. PAM controls elevated access, especially when a service account or workload can reach production, infrastructure, or sensitive data paths. For machine identities, the two must work together because a credential can be legitimate and still be dangerously over-privileged.

Q: Why do non-human identities create more governance risk than human accounts?

A: Non-human identities are created faster, used more broadly, and reviewed less often than human accounts. They often rely on secrets, certificates, or tokens that persist in code and pipelines, which makes ownership and revocation harder to enforce. That combination creates hidden privilege and weak accountability, which is why NHI governance has to be continuous.

Q: When should organisations replace standing access with just-in-time access for NHIs?

A: Organisations should use just-in-time access whenever an NHI only needs elevated privilege for a narrow task or a short maintenance window. JIT is most useful when the workload can tolerate temporary elevation and when revocation is automated. If the access is permanent by design, focus first on scope reduction and ownership before adding JIT.

Technical breakdown

Why identity becomes the control plane in zero trust

Zero trust assumes no implicit trust based on network location, device ownership, or internal status. Identity becomes the control plane because every access decision must be tied to an identity, an entitlement, and a context signal that can be verified at request time. That is especially relevant for NHIs, which often authenticate through secrets, certificates, or tokens rather than interactive user flows. If those credentials are long-lived or broadly scoped, zero trust degrades into a trust-on-first-use model with weak renewal. The architecture only works when identity policy, telemetry, and enforcement are linked continuously.

Practical implication: Treat identity policy as the enforcement point for every access path, not as a post-authentication record.

How IAM, PAM, and secrets management intersect for NHIs

IAM defines the identity, PAM constrains elevated access, and secrets management protects the credentials that make machine access possible. For NHIs, these layers overlap because a service account may have persistent entitlements, a stored API key, and privileged access to production systems at the same time. The technical failure is usually not one control, but the gap between them: credentials exist outside lifecycle governance, access reviews miss service accounts, and privilege is never reduced after deployment. Continuous validation matters because machine identities do not self-report risk or intent.

Practical implication: Map each NHI to an owner, a purpose, and a revocation path across IAM, PAM, and secrets processes.

What identity threat detection and response must watch for

Identity threat detection and response focuses on abnormal identity behavior rather than perimeter events. For NHIs and AI agents, that means looking for unusual token use, privilege escalation, access from unexpected environments, and lateral movement that follows credential abuse. The technical challenge is that machine identities often generate high-volume, low-noise activity, so baselines must be specific to workload, environment, and time window. Detection should flag both misuse of existing credentials and signs that an identity has become a pivot point for broader compromise.

Practical implication: Build detections around abnormal identity behavior and entitlement drift, not just failed logins or malware alerts.

Threat narrative

Attacker objective: The attacker aims to turn a trusted machine identity into durable access that bypasses traditional network and endpoint defenses.

1. Entry occurs when attackers compromise exposed credentials, tokens, or privileged service accounts that can authenticate as trusted non-human identities.
2. Escalation follows when those identities have broader entitlements than the workload actually needs, allowing access to adjacent systems and management paths.
3. Impact is reached when the attacker uses identity-backed trust to move through cloud services, APIs, or AI-connected tooling without triggering perimeter controls.

Breaches seen in the wild

• 230M AWS environment compromise — 230M AWS environments compromised via exposed .env files with cloud credentials.
• Shai Hulud npm malware campaign — Shai Hulud campaign: npm malware exposed secrets on GitHub.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity security is no longer a support function, it is a governance layer. The article is right to frame identity as the center of modern control design, but the stronger implication is that IAM now sits inside cyber risk governance, not beside it. For NHI programmes, that means ownership, lifecycle control, and access review must be treated as board-relevant controls, not service desk work. Practitioners should align identity decisions to risk appetite and recovery objectives, not just provisioning speed.

Ephemeral access without lifecycle control creates ephemeral trust debt. Short-lived credentials reduce exposure windows, but they do not solve ownership, scoping, or revocation discipline. In practice, many organisations replace one static secret with a faster-moving trust assumption that nobody can audit well. The field should treat this as a governance anti-pattern, especially where AI agents and automation chains can request access repeatedly. Practitioners should measure how quickly they can explain and revoke every NHI entitlement.

The convergence of PAM, secrets management, and ITDR is becoming the default architecture for machine identity governance. That convergence is not a vendor story, it is a consequence of how NHIs actually operate across cloud and software delivery. Privilege, authentication material, and behavioral monitoring have to be managed together because attackers exploit the seams between them. Practitioners should design control ownership so no single team can lose track of a privileged machine identity.

Identity-first security will fail if organisations keep human-centric processes for machine identities. Service accounts and AI agents do not fit annual review cycles, manual recertification, or static role models very well. Their access changes with deployment, pipeline structure, and automation logic, which means governance has to be continuous and inventory-driven. The practical conclusion is simple: if an NHI cannot be discovered, reviewed, and revoked on demand, it is already outside effective control.

AI and machine identities expand the perimeter faster than most IAM strategies can absorb. The article correctly points to future complexity, but the discipline-level issue is that identity sprawl is now structural. Every additional workflow, bot, or agent adds authentication paths and entitlement dependencies that traditional IAM reporting often misses. Practitioners should prepare for identity volume growth as a standing risk variable, not a temporary migration effect.

From our research:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to Ultimate Guide to NHIs.
• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing that remediation is still too slow for identity-led attacks.
• For the next step, Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs shows how to operationalise provisioning, rotation, and offboarding.

What this signals

Identity-first security will only hold if programmes can govern machine identities at the same pace they are created. That is the operational signal for CISOs and IAM leads: identity sprawl is now a capacity problem, not just a policy problem. When NHIs outnumber human identities by 25x to 50x, according to Ultimate Guide to NHIs, manual review cycles stop being credible for anything beyond exception handling.

The strongest programmes will shift from periodic attestation to continuous identity inventory, entitlement drift detection, and time-bound elevation. That is especially important where AI agents can request tools, generate actions, and chain access across systems. Teams that delay this shift will keep discovering that their access model is accurate on paper but incomplete in practice.

Ephemeral credential trust debt: short-lived secrets can reduce exposure windows while still leaving hidden ownership and revocation gaps. Practitioners should watch for any workload, pipeline, or agent that can reissue credentials faster than governance can review them, and they should anchor remediation to lifecycle controls rather than one-time hardening.

For practitioners

• Document a unified identity strategy Tie IAM, PAM, secrets management, and ITDR to the same risk objectives, ownership model, and reporting cadence so identity is governed as a single control plane.
• Inventory non-human identities by business purpose Classify service accounts, tokens, certificates, bots, and AI agents by owner, workload, privilege, and dependency so hidden accounts do not disappear into platform sprawl.
• Reduce standing privilege across machine identities Replace persistent access with just-enough entitlements, time-bound elevation, and explicit revocation paths for production and automation accounts.
• Align identity monitoring with abnormal behavior Build detections for unusual token use, cross-environment access, entitlement drift, and privilege reuse instead of relying only on failed authentication events.
• Measure identity governance as a resilience control Track time to deprovision, privileged access volume, MFA or certificate assurance coverage, and recovery from compromised credentials as operational metrics.

Key takeaways

• Identity security is now a control plane problem, not a narrow IAM administration problem.
• Excess privilege in NHIs remains the core governance failure because it multiplies both blast radius and revocation complexity.
• Practitioners should align IAM, PAM, secrets management, and identity monitoring around one lifecycle model for every human and non-human identity.

Key terms

• Non-Human Identity: A non-human identity is any digital identity used by software, infrastructure, or automation instead of a person. It includes service accounts, API keys, tokens, certificates, workloads, bots, and AI agents. These identities often carry persistent privilege and need lifecycle governance just like human accounts.
• Identity Threat Detection and Response: Identity threat detection and response is the practice of spotting and responding to suspicious identity behavior rather than only endpoint or network activity. For NHIs, it focuses on abnormal token use, privilege misuse, cross-environment access, and credential replay that can signal account takeover or lateral movement.
• Standing Privilege: Standing privilege is access that remains active all the time instead of being provisioned only when needed. For NHIs, standing privilege is especially risky because machine accounts are often rarely reviewed, widely reused, and difficult to revoke quickly once embedded in code or automation.

Deepen your knowledge

Identity security as the control plane for zero trust is a core topic in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building an identity governance programme that must cover service accounts, secrets, and AI agents, it is worth exploring.

This post draws on content published by CyberArk: Identity security as the essential foundation for every CISO’s 2026 cybersecurity strategy. Read the original.