Glossary

control

A control is a specific, testable safeguard or requirement used to manage risk and ensure consistent, compliant operation in industrial and regulated environments.

A control in industrial and regulated environments is a specific safeguard, requirement, or mechanism put in place to manage risk, enforce a policy, or ensure a process behaves within defined limits. Controls can be technical, procedural, or organizational, and they are usually written in a way that makes them testable and auditable.

Types of controls in manufacturing and industrial systems

In this context, the term “control” commonly refers to two closely related areas:

  • Operational and process controls: Actions, rules, or mechanisms that keep a manufacturing or industrial process within specified limits. Examples include equipment interlocks, recipe parameter limits in an MES, approval steps before batch release, and documented work instructions that must be followed.
  • Governance, risk, and compliance controls: Discrete requirements defined in standards, internal policies, or regulations that address specific risks, such as access control, change control, data integrity, or cybersecurity. These often appear as numbered controls in a framework or standard.

Across both areas, each control is typically associated with:

  • A stated objective (what risk or behavior it addresses)
  • A description of how it is implemented (system configuration, procedure, training, or combination)
  • Evidence that it exists and is used (records, logs, signatures, audit trails, or system settings)
  • A way to verify effectiveness (reviews, tests, audits, or monitoring)

Control vs. control family

In many security and compliance frameworks, a control family is a logical grouping of related individual controls, such as a set of access control requirements or data integrity safeguards. An individual control is one specific, testable requirement within that family, such as enforcing unique user IDs or logging all changes to critical process parameters.

In regulated manufacturing, implementation, validation, and evidence collection typically happen at the individual control level, while reporting, mapping to standards, and risk discussions often happen at the control family or framework level.

Operational meaning

Practically, a control shows up in daily operations as something that constrains or governs behavior. Examples include:

  • A system configuration that prevents starting a batch unless raw material inspections are complete.
  • A requirement that all recipe changes be approved and electronically signed by authorized roles.
  • A network rule that restricts remote access to OT equipment to specific secure pathways.
  • A documented procedure that defines how deviations are recorded, reviewed, and closed.

Each of these is a distinct control that can be documented, tested, and audited.

Common confusion

  • Control vs. policy: A policy states intent or direction (for example, “all changes must be approved”), while controls are the specific mechanisms and steps that enforce that intent.
  • Control vs. process: A process describes end-to-end activities. Controls are specific points within that process that ensure certain conditions are met or risks are addressed.
  • Control vs. controller: In automation, a controller is a device (such as a PLC or DCS). A control is the logical requirement or safeguard that may be implemented in that device, in software, or procedurally.

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