Identity and access management is becoming critical in Manufacturing 4.0

At a glance

What this is: This is Imprivata’s analysis of how Manufacturing 4.0 increases identity risk by widening access paths across AI systems, contractors, vendors, and operational technology.

Why it matters: It matters because manufacturing identity programmes now have to protect uptime, safety, and supply chain continuity while governing human, third-party, and machine access together.

By the numbers:

• 48% of organizations report third-party remote access as a leading attack vector.

👉 Read Imprivata's analysis of AI, IAM, and manufacturing critical infrastructure risk

Context

Manufacturing 4.0 links AI systems, IoT devices, shared workstations, and vendor access into a single operational fabric, which means identity risk now sits inside production risk. In that environment, IAM is no longer just an enterprise control plane. It is the mechanism that decides who can touch critical systems, when they can do it, and whether those actions remain auditable under pressure.

The article’s core point is that speed of integration is outpacing security vetting. As manufacturers onboard more suppliers and expose more operational systems, credential compromise and third-party access become easier paths into the environment. That makes this a governance problem across NHI, human identity, and contractor access rather than a narrow technology issue.

Key questions

Q: How should manufacturers control third-party access without slowing operations?

A: Use temporary, task-scoped access with explicit expiry, strong approval workflows, and detailed logging. Give vendors only the systems and sessions they need for the current job, then revoke access automatically when the task ends. That reduces exposure while preserving the collaboration manufacturing depends on.

Q: Why do AI and IIoT deployments increase identity risk in manufacturing?

A: They add more connected systems, more integration points, and more identities that can be abused if access is not governed tightly. The problem is not AI alone. It is the combination of new access paths, operational pressure to move quickly, and weak segmentation that turns one compromise into broader plant risk.

Q: What do security teams get wrong about contractor access in critical infrastructure?

A: They often treat contractor access as temporary in theory but persistent in practice. Access rights linger, roles become too broad, and review cycles lag behind operational change. That creates a governance gap where outside parties keep reach into systems long after the original business need has changed.

Q: How do you know if IAM is actually reducing operational risk?

A: You should see fewer standing privileges, narrower vendor access scopes, stronger MFA coverage, and audit trails that let you reconstruct privileged activity quickly. If access still spreads across shared devices, unsupported exceptions, or long-lived contractor accounts, IAM is helping users more than it is helping resilience.

Technical breakdown

Why manufacturing identity risk expands with AI and IIoT

Manufacturing environments are increasingly composed of connected production systems, AI-enabled applications, industrial IoT, and mobile or shared endpoints. Each component adds another authentication path and another trust decision. The practical challenge is that operational environments often prioritize uptime and ease of access, so identity controls are applied unevenly across the stack. That creates a situation where one weak credential or overly broad integration can move from a convenience issue to a plant-wide exposure.

Practical implication: Map every operational access path and remove broad trust assumptions before integrating new AI or IIoT systems.

Credential-based attacks and lateral movement in critical infrastructure

The article highlights credential abuse as a common entry point, which is consistent with industrial environments where shared access, legacy authentication, and contractor accounts can persist longer than intended. Once an attacker obtains a valid credential, lateral movement becomes a matter of finding adjacent systems with insufficient segmentation or weak role design. In manufacturing, that often means the difference between an isolated account compromise and an incident that reaches production controllers, file shares, or vendor portals.

Practical implication: Harden authentication boundaries and segment production access so a single credential cannot traverse the environment.

Third-party access control, MFA, and audit trails

Third-party access is presented as both necessary and dangerous, which is why the article emphasizes granular, temporary, and auditable permissions. MFA reduces the value of stolen passwords, but only when it is enforced across contractors and vendor workflows, not just employees. Audit trails matter because they create evidence for compliance and response, but they only help if access is scoped tightly enough to reconstruct what happened and revoke it quickly when needed.

Practical implication: Use temporary vendor entitlements, enforce MFA for all external access, and preserve audit trails for every privileged session.

NHI Mgmt Group analysis

Manufacturing 4.0 turns identity into a production control, not just an IT control. Once AI, IoT, contractor access, and supplier integrations share the same operational environment, the question is no longer who can log in. It is who can change the state of a system that keeps a plant running, and whether that access is still correct when the environment changes. Practitioners should treat identity governance as part of operational resilience, not a back-office compliance layer.

Third-party access without lifecycle discipline creates an identity blast radius. The article’s 48% third-party remote access figure shows that external access is already a leading attack path in manufacturing. When those accounts are not granular, temporary, and auditable, one supplier relationship can extend trust far beyond the work being performed. The practitioner takeaway is to evaluate vendor access as a living exposure zone, not a static permission set.

Role-based access control remains essential, but only when roles reflect operational reality. Manufacturing environments often combine office users, plant-floor users, contractors, and machine-connected services in ways that make generic role models too coarse. If roles are too broad, privilege creep hides inside productivity design. If they are too narrow, workers route around controls. The governance challenge is to align roles to actual task boundaries and revisit them as production processes change.

AI in manufacturing increases the value of identity governance because it widens the set of actors that can influence operations. AI systems do not remove the need for human oversight; they increase the number of systems that need access decisions, auditability, and revocation paths. That makes IAM, MFA, monitoring, and access reviews part of the operational safety model. Practitioners should assume that every new digital integration also expands the governance surface.

From our research:

• 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
• Enterprises that have experienced a compromised NHI averaged 2.7 separate incidents in the past 12 months, according to GitGuardian and CyberArk.
• For lifecycle-oriented governance context, see NHI Lifecycle Management Guide for provisioning, rotation, and offboarding patterns that help reduce identity exposure.

What this signals

Identity governance will increasingly be judged by operational resilience outcomes, not policy existence. Manufacturing teams that can only describe access rules on paper will struggle if they cannot prove that privileged paths are segmented, reviewable, and revocable under production pressure. The governance metric that matters is whether access can be narrowed before an issue becomes an outage.

Third-party access will stay a high-value control point as supply chains get more interconnected. Manufacturers should expect contractor and supplier access to remain a top attack path unless temporary entitlement design becomes the default. The practical shift is toward lifecycle-managed external access, backed by logging and review, rather than standing trust.

With 72% of organisations having experienced or suspect they have experienced a breach of non-human identities, per The 2024 ESG Report: Managing Non-Human Identities, identity sprawl is already a board-level exposure. That means manufacturing programmes need a clearer model for where human, contractor, and machine access overlap before more AI-driven integration widens the attack surface further.

For practitioners

• Tighten third-party access lifecycles Replace open-ended vendor access with granular, temporary permissions that expire when the task ends. Require explicit approval for every renewal and ensure offboarding removes access from shared workstations, remote portals, and production-support tools.
• Enforce MFA across all contractor paths Apply multifactor authentication to employee, contractor, and supplier access without exceptions for operational convenience. Where production constraints exist, add compensating controls such as device binding, session logging, and step-up checks for privileged actions.
• Segment production access by task and system Design roles so plant-floor users, remote engineers, and vendors can reach only the systems required for their current task. Pair that with network segmentation and separate administrative paths so credential compromise cannot move freely between environments.
• Increase monitoring on identity-enabled integrations Treat every new AI, IIoT, or supplier integration as a new identity dependency that needs logging, alerting, and periodic review. Focus on unusual access patterns, repeated failed logins, and privilege use outside normal maintenance windows.

Key takeaways

• Manufacturing 4.0 expands identity risk by linking AI, IoT, contractors, and suppliers into the same operational environment.
• The practical danger is not only stolen credentials, but lateral movement into production systems and supply chain disruption.
• Granular third-party access, enforced MFA, and task-based role design are the controls most likely to reduce exposure.

Key terms

• Third-Party Access: Access granted to external vendors, contractors, or suppliers so they can perform work inside an organisation’s systems. In manufacturing, this often becomes a risk multiplier because access is needed quickly, spans multiple environments, and can outlive the original task if lifecycle controls are weak.
• Privilege Creep: The gradual accumulation of access beyond what a user or system needs for its current role. In operational environments, privilege creep often happens when temporary access is extended, roles are reused across tasks, or review cycles lag behind business change.
• Industrial IoT: Connected devices and sensors used in industrial settings to monitor, control, or automate operations. These systems increase the number of identities and access paths that must be governed, which makes segmentation, logging, and access scoping essential.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Imprivata: AI Advancements in Manufacturing 4.0 Increase Pressure to Safeguard Critical Infrastructure through Identity and Access Management. Read the original.