Manufacturing security programs often mature around reliability, safety, and uptime. Production systems must remain operational, supplier relationships must function continuously, and planet networks frequently contain specialized equipment that cannot be patched or replaced on the same cycle as traditional IT infrastructure. These realities shape how security controls are implemented and maintained.

Simultaneously, manufacturing environments have become deeply interconnected. Enterprise identity services authenticate engineering workstations, remote vendors access equipment through managed connections, and production applications exchange data with ERP platforms and cloud analytic systems. The result is a network architecture built on trusted relationships between systems that were introduced gradually over time.

Penetration testing offers a way to examine how those relationships behave when an attacker actively attempts to navigate them. Rather than isolating individual vulnerabilities, the exercise focuses on how weaknesses combine across identity infrastructure, internal applications, and system permissions to create attack paths.

Manufacturing organizations continue to digitize operations to improve efficiency and production insight. Industrial Internet of Things (IIoT) devices collect telemetry from equipment, plant-floor systems feed data to analytics platforms, and remote access tools allow vendors to maintain specialized machinery.

Each of these connections increases operational visibility, but they also extend the network boundary.

According to the 2024 IBM X-Force Threat Intelligence Index, manufacturing remained the most targeted industry for cyberattacks for the third consecutive year, accounting for over 25% of observed incidents globally. Much of the activity targets identity infrastructure, credential access, and internal movement rather than immediate disruption.

Attackers increasingly focus on environments where operational and enterprise systems intersect. Once inside, the objective often becomes persistence and lateral movement rather than immediate sabotage.

Penetration testing addresses this gap by examining how attackers could realistically progress through the environment after gaining initial access.

Many manufacturing environments rely on centralized identity services to authenticate users, machines, and applications across corporate and plant networks. Systems that control production scheduling, engineering design tools, and operational monitoring platforms often integrate directly with directory services for authentication and access management.

This creates efficiency from an administrative perspective. However, it also means that identity infrastructure becomes one of the most valuable assets for an attacker attempting to expand their foothold.

Security assessments frequently uncover patterns, including:

• Services accounts with long-lived credentials and broad permissions
• Legacy authentication protocols that remain enabled for compatibility
• Overlapping privilege assignments across engineering and administrative teams
• Trust relationships between domains that were introduced for operational convenience

Penetration testing and Active Directory Security Analysis help identify how these relationships interact in practice rather than simply evaluating them against baseline configuration guidance.

Manufacturing organizations rely on specialized applications to coordinate production activity. These systems manage everything from equipment telemetry and maintenance schedules to supply chain integration and quality assurance tracking.

Unlike public-facing platforms, many of these applications are designed for internal use. As a result, they are often developed with assumptions about trust within the environment. Authentication models may depend heavily on internal identity infrastructure, and access control logic sometimes evolves gradually as new operational requirements emerge.

Application penetration testing evaluates how these systems behave under adversarial conditions. Testing may uncover issues such as:

• Improper authorization checks between user roles
• API endpoints that expose sensitive operational data
• Input validation flaws that allow manipulation of production records
• Authentication mechanisms that rely on weak trust assumptions within the network

For manufacturers, these vulnerabilities can have consequences beyond data exposure. In certain cases, manipulation of operational data could influence production decisions or equipment maintenance scheduling.

Security teams are often presented with long lists of vulnerabilities generated by automated scanning tools. With these reports providing valuable technical insight, they rarely illustrate how those findings translate into real-world attack scenarios. Adversary Emulation and full-scope penetration testing take a different approach. Instead of cataloging weaknesses in isolation, they explore how those weaknesses interact within the broader environment.

This process often reveals that the most significant risks arise not from a single critical vulnerability but from a chain of smaller issues that create an unintended pathway.

For example, a low-privilege user account combined with a misconfigured service permission and an exposed administrative interface might allow an attacker to escalate privileges and access systems that control production reporting. None of these issues alone would necessarily trigger immediate concern, but together they form a viable attack sequence.

Understanding these sequences allows organizations to prioritize remediation based on realistic impact rather than theoretical severity.

A mid-sized manufacturer operating three production facilities engaged a security team to conduct a comprehensive penetration test across its enterprise and plant networks. The organization had invested in endpoint protection, network monitoring, and vulnerability management tools. Initial internal assessments suggested that the environment was relatively well protected.

The engagement began with external reconnaissance and quickly transitioned to internal testing after simulated credential access was established. Within the first phase of testing, analysts identified a legacy service account used by an engineering application responsible for managing machine configuration data.

The account had remained active for several years and possessed administrative permissions within a subset of the organization’s identity infrastructure. Because the account supported automated processes, its password had not been rotated regularly and was shared across multiple systems.

Using this account as a starting point, testers explored its effective permissions within the directory environment. They discovered that the account could interact with several authentication services responsible for validating users across both corporate and plant networks.

Through a combination of authentication relay techniques and privilege inheritance within the directory structure, the testing team was able to escalate privileges and obtain administrative visibility into segments of the environment that included production management servers.

At this stage, the focus shifted to application-level analysis. One internally developed production scheduling application relied on directory authentication but performed minimal verification of user authorization once authentication succeeded. By modifying specific API requests, testers demonstrated that operational data could be queried outside of normal role restrictions.

The scenario did not result in direct control of industrial equipment. However, it demonstrated that an attacker with sufficient access could retrieve production schedules, manipulate reporting data, and maintain persistence through privileged identity accounts.

From a defensive perspective, the organization’s monitoring tools had not flagged the activity during the simulation. The behavior appeared similar to legitimate service account activity.

The findings highlighted several themes common in manufacturing environments. First, identity infrastructure had become the central trust mechanism across both enterprise and operational systems. Once elevated access was obtained within the directory environment, movement between systems became significantly easier.

Second, service accounts and automated processes introduced long-lived credentials that were rarely reviewed with the same scrutiny as human user accounts. These accounts often accumulated permissions gradually as new integrations were implemented.

Third, internal applications assumed a level of trust within the network that did not hold under adversarial conditions. Authentication alone was treated as sufficient proof of authorization.

None of these issues represented a catastrophic vulnerability on their own. Their combined effect, however, created a realistic pathway through which an attacker could expand influence within the environment.

Manufacturing environments evolve constantly. New equipment is introduced, supplies connect to plant networks, applications expand to support additional operational workflows, and identity systems integrate with new services. Each of these changes alters the network’s trust relationships.

Penetration testing and adversary emulation provide a mechanism for periodically reevaluating how these relationships behave under adversarial pressure.

For manufacturers responsible for maintaining production continuity, this perspective is particularly valuable. Operational disruption, intellectual property exposure, and manipulation of production data represent risks that extend well beyond traditional IT security concerns.