Connect981 – Content Dev

RSC Sphere: Data Integration, Security and Trust

The Data Integration, Security and Trust Sphere establishes the governance layer that makes everything else credible. It focuses on system interoperability, data mapping, version control, audit trails, and security alignment for regulated environments. The content makes clear how execution data can move safely across ERP, MES, QMS, PLM, and supplier systems without compromising control. This sphere proves that interoperability and security can coexist in aerospace ecosystems.

  • Can Connect 981 support multiple facilities and shared analytics?

    Yes, Connect 981 can support multiple facilities and shared analytics, but that does not automatically mean every site will behave like a single, standardized system from day one.

    In practice, multi-facility support usually depends on how the implementation handles site hierarchy, common data definitions, user permissions, workflow variation, and integration with existing ERP, MES, PLM, QMS, and shop floor systems. If those pieces are inconsistent across plants, shared analytics may be technically possible but operationally misleading.

    What multi-facility support usually means

    A workable multi-site setup often includes:

    • separate facilities, lines, cells, or programs managed within one platform structure

    • site-specific workflows, approvals, or forms where local process differences are real and must be preserved

    • shared reporting across sites for common metrics

    • role-based access controls so users see only the data they are authorized to see

    • traceable configuration and change control when templates or workflows are reused across facilities

    Whether that works cleanly depends on governance. If one plant defines downtime, scrap, rework, nonconformance, or completion differently from another, a shared dashboard can create false comparability.

    Shared analytics are possible, with conditions

    Shared analytics are generally feasible if the underlying data is mapped consistently. The main constraint is not the dashboard layer. It is the quality and consistency of the source data.

    Common dependencies include:

    • standardized master data for parts, work centers, operations, reason codes, and personnel or role structures

    • consistent event timing and transaction discipline across facilities

    • clear rules for local versus enterprise KPIs

    • integration quality with incumbent systems

    • security segmentation, especially where export-controlled, customer-restricted, or program-specific data must not be broadly exposed

    If those conditions are weak, shared analytics can still be delivered, but they usually require qualification of metrics, local data cleansing, and explicit caveats about comparability.

    Brownfield reality

    Most regulated manufacturers do not start with a clean slate. One facility may have a mature MES, another may rely on ERP transactions and spreadsheets, and a third may have custom quality workflows. Connect 981 can coexist with that reality, but the rollout approach matters.

    Full replacement across all facilities is often the wrong first move in regulated, long-lifecycle environments. It can fail because of qualification burden, validation cost, downtime risk, integration complexity, and the need to preserve traceability and change history on long-lived assets and programs.

    A more practical approach is usually phased coexistence:

    • connect to incumbent systems where replacement risk is high

    • standardize a limited set of shared data objects and KPIs first

    • allow controlled local variation where processes genuinely differ

    • expand enterprise reporting only after data definitions are stable

    Key tradeoffs

    • More standardization improves cross-site analytics, but can slow adoption where local processes are materially different.

    • More local flexibility improves fit at each plant, but makes enterprise reporting harder to trust.

    • Centralized templates reduce duplication, but require stronger change control and regression testing.

    • Broader data visibility improves leadership insight, but increases security, segregation, and governance requirements.

    So the short answer is yes, but only with deliberate data governance, integration discipline, and a rollout model that respects existing systems and validation constraints.

  • What are the four main groups in the IEC 62443 standard family?

    The IEC 62443 standard family is organized into four main groups, each addressing a different level of industrial automation and control systems (IACS) cybersecurity:

    1. General (IEC 62443-1-x)
      High-level concepts and vocabulary for the entire 62443 series. This group defines common terms, conceptual models, and general guidance used across all other parts. It provides the foundation needed to interpret the more detailed requirements correctly.

    2. Policies & Procedures (IEC 62443-2-x)
      Requirements and guidance for cybersecurity management at the organizational and site level. This includes security program management, patch and account management, incident response processes, and lifecycle governance. It is primarily aimed at asset owners and service providers responsible for operating and maintaining IACS environments.

    3. System (IEC 62443-3-x)
      Requirements for securing IACS at the system level, including zones and conduits, defense-in-depth concepts, and security levels for complete systems. This group is particularly relevant to system integrators and asset owners who design, integrate, and validate end-to-end architectures in brownfield environments where new and legacy equipment must coexist.

    4. Component (IEC 62443-4-x)
      Technical requirements and processes for individual components, such as PLCs, controllers, engineering workstations, HMIs, and network devices. These parts focus on secure product development lifecycles and detailed security capabilities components should provide. They are primarily targeted at product suppliers and vendors but impact how asset owners specify and qualify equipment.

    How this applies in regulated, brownfield environments

    In most regulated manufacturing environments, different parts of IEC 62443 end up applying simultaneously to different stakeholders and layers:

    • The General group provides shared language for operations, engineering, IT, and quality when defining security requirements and evaluating vendors.
    • The Policies & Procedures group must be reconciled with existing quality systems, change control processes, and validation practices. Adoption is usually incremental and constrained by existing SOPs and regulatory commitments.
    • The System group has to be interpreted within mixed-vendor MES/SCADA/DCS networks that cannot be fully redesigned without major downtime and requalification. Zoning and conduits are often implemented stepwise, around existing architectures.
    • The Component group is limited by what current suppliers actually support and what can be changed without triggering long requalification cycles. Legacy devices that predate 62443 typically remain in service for years, so controls at the system and procedural levels are needed to compensate.

    Because of these constraints, organizations rarely adopt all four groups uniformly. Instead, they typically prioritize specific parts that align with current risk drivers, existing governance maturity, and what is feasible within downtime, validation, and integration limits.

  • How can we communicate our products’ security levels to customers?

    Communicating security levels to customers in industrial and regulated environments is less about a single score or label and more about providing clear, evidence-backed information about how you manage security risk across the product lifecycle.

    Focus on evidence, not marketing labels

    Avoid vague claims like “military grade” or “secure by design” without specifics. In regulated and safety-critical contexts, customers usually want:

    • Which standards, frameworks, or company policies your product aligns with.
    • What concrete controls are implemented (technical, procedural, physical).
    • How you manage vulnerabilities, updates, and configuration in brownfield plants.
    • What assumptions you make about the customer’s network and operational environment.

    Make it explicit that no product is “100% secure,” and that overall risk depends on customer deployment, integration quality, and operational discipline.

    Define and publish a security level model

    If you want a repeatable way to describe security levels, define an internal model and share it with customers. For example:

    • Security Level 1: Basic hardening, authentication, role-based access, patchable firmware/software, logging. Assumes a reasonably segmented network and basic OT security hygiene.
    • Security Level 2: Adds secure boot / code signing, stronger credential policies, remote update controls, role separation, more granular audit trails, and integration with customer identity management where feasible.
    • Security Level 3: Enhances resilience and monitoring: tamper detection, detailed security logging, remote attestation where supported, stricter supply-chain controls for software components, and documented integration patterns for secure architectures.

    Clarify that this is your internal classification, not a formal regulatory designation. Map it to known frameworks (for example, IEC 62443 concepts) where appropriate, and explain any differences or gaps.

    Use structured documentation instead of promises

    Rather than a single statement on a data sheet, provide a set of versioned, controlled documents, for example:

    • Product security overview: High-level description of security objectives, threat assumptions, and key capabilities per product family.
    • Security hardening guide: Step-by-step configuration guidance for typical OT/IT environments, including what is required from the customer (network segmentation, identity management, backup procedures).
    • Vulnerability management and update policy: How you handle vulnerabilities, patch release cadence, support windows, and how customers receive notifications.
    • Bill of materials transparency: Where possible, a software/firmware component list to support customer SBOM processes and risk reviews.
    • Change history: Versioned release notes for security-relevant changes (for example, new crypto, protocol changes, hardened defaults).

    In regulated environments, treat these as controlled documents under your quality or information security management system, with traceable revision history.

    Align with industrial cybersecurity standards where possible

    Many customers will anchor their evaluation on known standards, even if they are not mandating full certification. Where appropriate, describe:

    • Which parts of standards like IEC 62443 you considered during design or deployment guidance.
    • Which control families or requirements your product can help support (for example, identification and authentication control, use control, data confidentiality, restricted data flow).
    • What remains the customer’s responsibility (for example, network zoning, SOC monitoring, log retention, incident response).

    Be explicit when there is no formal certification. You can state that you “designed with reference to” or “aligned practices with” a standard, but avoid implying compliance that has not been independently assessed and documented.

    Describe lifecycle and support, not just features

    For long-lived industrial assets, customers care as much about how security is maintained as about capabilities on day one. Communicate:

    • Support horizon: How long you plan to provide security updates for major versions.
    • Update paths: How updates are delivered (local, remote, via integrators), how they can be validated, and any downtime implications.
    • Configuration and asset management: How customers can inventory devices, monitor configuration drift, and maintain baselines in plants with many vendors.
    • End-of-life policy: How you handle products that can no longer be updated securely and how you communicate those risks.

    Clarify what you test and validate before releasing security updates, especially where plant downtime and requalification are major concerns.

    Address brownfield and coexistence explicitly

    Most customers will integrate your product into mixed-vendor, legacy MES/ERP/SCADA environments. Your communication should acknowledge:

    • Any legacy protocols or modes that remain for compatibility and their security limitations.
    • Secure configuration options that may require disabling or restricting legacy features.
    • Integration patterns for common architectures (for example, DMZ placement, jump hosts, data diodes).
    • Known constraints when connecting to older systems that cannot support stronger authentication or encryption.

    Where there are tradeoffs between security and interoperability, state them plainly and suggest mitigations (for example, compensating controls such as additional network zoning or monitoring).

    Support customer audits and risk assessments

    Security communication should be structured so it can be consumed in vendor risk assessments, audits, and qualification efforts. Helpful practices include:

    • Maintaining a standard “product security & privacy fact sheet” per major product line, under document control.
    • Providing a standard response package for typical security questionnaires (for example, controls summary, architecture views, process descriptions).
    • Ensuring internal consistency across marketing, data sheets, manuals, and security documentation.
    • Making it clear how customers can request more detailed information under NDA, if needed.

    Do not commit to security behaviors that are not fully backed by your processes, tooling, and resourcing. In regulated environments, unsupported claims quickly become liability and audit findings.

    Be transparent about limits and shared responsibility

    Finally, communicate what your product does not do:

    • List known limitations (for example, no encryption for specific legacy interfaces, no local log tamper-protection, limited identity integration).
    • Clarify that plant-wide security outcomes depend on customer policies, network design, maintenance, and monitoring.
    • State that the information you provide is for risk evaluation and design decisions, not a guarantee of regulatory compliance or safety.

    This level of honesty usually increases credibility with experienced OT, quality, and IT teams who must manage real-world risk across long equipment lifecycles.

  • human-in-the-loop

    Core meaning

    Human-in-the-loop (HITL) commonly refers to a design approach in which human operators remain actively involved in reviewing, approving, or overriding the outputs of an automated system. The system is intentionally built so that critical decisions, or the authority to enact them, pass through a human rather than being executed fully autonomously.

    In industrial and manufacturing contexts, this typically means that automated analytics, optimization engines, or AI models generate recommendations or preliminary decisions, while qualified personnel confirm, adjust, or reject those outputs before they affect production, quality disposition, or regulatory records.

    Use in industrial and regulated environments

    In operations and manufacturing systems, human-in-the-loop is often applied to:

    – **AI and advanced analytics**: Models propose setpoint changes, maintenance actions, or quality classifications, but engineers or supervisors must review and approve before implementation in MES, DCS, or ERP.
    – **Workflow and MES steps**: Systems may route exceptions, deviations, or out-of-trend results to an operator for assessment and decision, even if detection or triage is automated.
    – **Electronic records and release decisions**: Automated checks (e.g., specification limits, rule engines) can flag issues, but batch release, disposition, or corrective actions are confirmed by authorized personnel.
    – **Safety- and compliance-relevant actions**: Any action that could significantly affect product quality, patient safety, or regulatory records is kept under explicit human authority, even when automation supports the decision.

    Human-in-the-loop designs are commonly supported by:

    – Clear roles and responsibilities for who can approve or override automated outputs
    – System features that pause execution until human review is recorded
    – Audit trails documenting human decisions and rationale
    – Interfaces that present model or system outputs in a way that is understandable to the responsible user

    Boundaries and what it is not

    Human-in-the-loop:

    – **Is**: A governance and interaction pattern where humans remain accountable decision-makers while using automation as an input.
    – **Is not**: Purely manual operation without automation; by definition, there is an automated or algorithmic component being supervised.
    – **Is not**: Fully autonomous control, where a system executes actions without any human review or approval within a defined decision loop.

    It can coexist with other patterns, such as:

    – **Human-on-the-loop**: Humans monitor high-level behavior and can intervene but are not required to approve each action.
    – **Human-out-of-the-loop**: Systems operate autonomously in defined domains without real-time human oversight.

    Common confusion and related terms

    – **Automation vs. autonomy**: Human-in-the-loop systems may be highly automated but are not fully autonomous, because critical decisions still involve human review.
    – **Decision support vs. decision automation**: With HITL, automation typically provides decision support (recommendations, scores, classifications), while the final decision authority remains with a human.
    – **Explainability**: HITL does not guarantee that an AI model is explainable, but it is frequently combined with explainability techniques so humans can understand and justify their approvals.

    Application in MES and AI integration (site context)

    When AI models are integrated with MES or other production systems, human-in-the-loop commonly means:

    – AI outputs (e.g., recommended parameters, predicted quality outcomes, suggested holds) are presented as advisory information.
    – MES workflows require a human to confirm, adjust, or reject these AI suggestions before they change master data, execution parameters, or product status.
    – Change control, access control, and audit trails record both the AI recommendation and the human decision as part of the electronic record.

    This pattern is often used to maintain clear decision accountability, support investigations, and align AI-enabled operations with existing procedures and regulatory expectations.

  • control recipe

    A control recipe is the fully specified, executable instance of a recipe used to run a particular batch, lot, or production order in an automated or semi-automated manufacturing system. The term is most commonly associated with ISA‑88 (S88) batch control, but the concept also appears in other recipe-driven production environments.

    What a control recipe includes

    In an S88-style model, a control recipe typically contains:

    • Identification information, such as recipe ID, batch ID, product code, and version
    • The selected master recipe reference (the standard definition of how to make the product)
    • Specific parameter values for this run, such as quantities, target setpoints, and timing
    • Selected equipment and units, consistent with the plant’s equipment model
    • Scheduling and sequencing information for the batch or order
    • Links to required materials, intermediates, and consumables
    • Required checks, holds, or approvals, such as quality checks or signoffs
    • Reporting requirements, such as which data must be logged as batch records

    The control recipe is what the control system (for example a batch engine, DCS, or MES) actually uses to orchestrate and monitor the production run.

    Role in operations

    Operationally, a control recipe connects the product definition to the plant floor:

    • It is created from a master recipe when a specific batch, lot, or order is planned.
    • It may be instantiated or managed by a batch management system, MES, or a dedicated recipe management system.
    • It provides the control system with all necessary details to execute, monitor, and log the process.
    • It often forms part of the electronic batch record or production history for compliance and traceability.

    In regulated or highly controlled environments, version control and approval workflows are commonly applied to control recipes and the parameters they contain.

    What a control recipe is not

    • It is not the generic product definition. That is usually the domain of a master recipe or product specification.
    • It is not the low-level equipment logic (for example PLC code or DCS configuration), although it references and drives that logic.
    • It is not the long-term production plan or finite schedule, but it may be generated as part of scheduling.

    Common confusion

    Control recipe vs. master recipe: In S88, a master recipe is the generalized, approved description of how to manufacture a product. A control recipe is a specific, executable instance of that master recipe for a particular run, with concrete parameter values and equipment selections.

    Control recipe vs. formula or BOM: A formula or bill of materials usually lists materials and quantities. A control recipe includes those, but also embeds the procedural steps, setpoints, and runtime instructions needed by the control system.

    Connection to ISA‑88 (S88)

    Within the ISA‑88 framework, control recipes are one of the defined recipe types. They support the separation of:

    • What is being made (product and master recipe)
    • How the plant equipment is organized (equipment model)
    • How a given batch is actually executed in the control system (control recipe)

    In practice, this separation allows plants to maintain standard master recipes while generating many different control recipes adapted to specific batch sizes, equipment availability, and order requirements.

  • Access Log

    An access log is a time-stamped record of user or system access events captured by an application, operating system, network device, or security tool. In industrial and manufacturing environments, access logs typically track who accessed which system or resource, from where, when, and how.

    What an access log typically includes

    While formats vary by system, an access log commonly records:

    • Identity information: user ID, account name, role, or service account
    • Event timing: date and time of login, logout, or resource access
    • Source details: device, IP address, or terminal that initiated the access
    • Target resource: application, database, file, workstation, PLC, MES transaction, or API endpoint
    • Action and outcome: login, logout, read, write, configuration change, success or failure

    In regulated manufacturing, access logs are often part of broader audit trail and security logging capabilities across MES, ERP, QMS, data historians, and OT systems.

    Operational use in manufacturing and regulated environments

    Access logs are commonly used to:

    • Support investigations into deviations, data changes, or unexpected process behavior by showing who accessed what and when.
    • Demonstrate control over privileged or administrative accounts in production, laboratory, or engineering systems.
    • Monitor cybersecurity indicators such as repeated failed logins, unusual access times, or access from unexpected locations.
    • Correlate events with other logs (application logs, system logs, change logs) to reconstruct the sequence of actions around an incident.

    Access logs may reside on individual devices (for example HMIs, PLC gateways, OT firewalls), in central log management systems, or in security information and event management (SIEM) platforms used across the plant.

    What access logs are not

    An access log is not:

    • A full process history or genealogy record of a part or batch.
    • A detailed change log of all data values; instead it focuses on access and session events.
    • A substitute for role-based access control; it records activity but does not enforce permissions.

    Common confusion

    • Access log vs audit trail: An audit trail is a broader record of system and data changes (for example changes to a work instruction, recipe, or quality record). An access log focuses specifically on access and authentication events, though in some systems the terms are used together.
    • Access log vs application log: Application logs can include errors, performance information, and business events. Access logs are a specific subset focused on who accessed the application and how.

    Relation to compliance and cybersecurity

    Access logging is commonly referenced in cybersecurity and data integrity expectations for regulated manufacturing. It supports evidence of:

    • Controlled access to MES, QMS, ERP, PLM, and OT assets.
    • Monitoring and detection of unauthorized or anomalous access.
    • Traceability of user actions linked to changes in critical records or configurations.

    Organizations often define retention periods, review practices, and secure storage for access logs to ensure they remain available and tamper-resistant for investigations and audits.

  • Who should own ISO 27001 in organizations with both IT and OT teams?

    ISO 27001 should be owned at the enterprise risk and governance level, not by a single technical team. In organizations with both IT and OT, the usual pattern is:

    • A single business owner for the ISMS (often CISO, CIO, or central Risk/Compliance) accountable for the management system, scope, risk methodology, and interfaces to regulators and auditors.
    • IT leadership responsible for implementing and operating controls on corporate IT and cloud systems.
    • OT leadership (often an OT/plant digital lead or engineering leader) responsible for implementing and operating controls on plant-floor and industrial control systems.

    This separation recognizes that ISO 27001 is a management system standard, not a pure technology standard. The accountable owner must be able to balance risk, cost, and operational impact across both IT and OT, and must sit high enough to resolve conflicts between them.

    Practical ownership model in IT/OT environments

    In regulated, brownfield manufacturing environments, a workable pattern is:

    • ISMS Owner (Accountable): CISO, CIO, or VP Risk/Compliance.
      • Owns the ISO 27001 scope, policy framework, risk assessment methodology, statement of applicability, internal audit program, and management review.
      • Ensures interfaces with quality systems, safety processes, and change control are defined and followed.
    • IT Owner (Responsible for IT scope): Head of IT / Infrastructure / Enterprise Applications.
      • Implements and maintains controls for enterprise networks, servers, workstations, business apps, identity and access management, and cloud services in scope.
      • Coordinates with OT on shared infrastructure (e.g., identity, backup, logging, DMZs).
    • OT Owner (Responsible for OT scope): OT leader / Automation engineering lead / Plant digitalization lead.
      • Implements and maintains controls on ICS/SCADA, DCS, PLCs, historians, MES, and plant networks, with explicit alignment to safety, quality, and validation constraints.
      • Ensures changes respect process safety, qualification, validation, and downtime limits.
    • Supporting functions: Quality, EHS, Legal, HR, and Procurement.
      • Contribute to risk assessment, supplier requirements, training, incident response, and alignment with existing QMS and safety processes.

    Formally, this is usually documented via a RACI that shows who is accountable for the ISMS overall, and who is responsible for each control area across IT and OT.

    Why not let OT or IT “own” ISO 27001 alone?

    Assigning ISO 27001 ownership solely to IT or OT usually fails for at least one of these reasons:

    • Scope gaps: An IT-only owner may under-scope OT networks, vendor remote access, or plant data flows. An OT-only owner may under-scope corporate identity, remote workstations, or cloud services that touch OT data.
    • Conflicting priorities: OT optimizes for uptime and safety; IT often optimizes for standardization and strong technical controls. Neither side alone can reliably balance the tradeoffs at the IT/OT boundary.
    • Regulated change control: Many OT changes require engineering review, validation, or requalification. An IT-only owner may push control changes that are not feasible within existing change-control workflows or shutdown windows.
    • Supplier and lifecycle realities: OT systems have long lifecycles and limited patchability. An OT-only view may under-leverage corporate capabilities (e.g., central logging, vulnerability management), while an IT-only view may set expectations that current OT assets cannot safely meet.

    A central risk or security function is usually better positioned to arbitrate these tradeoffs and decide where risk is accepted, mitigated, or transferred.

    Key design points for shared ownership

    Regardless of where the ISMS owner sits, you will need to make the following explicit:

    • Scope definition: Exactly which plants, networks, systems, and data are in the ISO 27001 scope, including shared IT/OT components (e.g., plant domain controllers, DMZ firewalls, data diodes, VPNs, cloud historians).
    • Interfaces with other management systems: How ISO 27001 interacts with the QMS, safety management, validation/qualification, and change-control processes. In many regulated plants, ISO 27001 controls cannot override quality or safety requirements.
    • Control ownership by domain: For each relevant Annex A control, who is responsible for implementation on IT systems, on OT systems, and for shared infrastructure.
    • Change and downtime constraints: How OT downtime windows, turnaround schedules, and qualification testing are considered when planning security controls like patching, segmentation, or MFA rollouts.
    • Incident response integration: How cyber incidents in OT are triaged, escalated, and resolved, including coordination with safety, operations, and quality incident processes.

    Brownfield and long-lifecycle considerations

    In brownfield plants with legacy MES, SCADA, and control systems, full “replacement” of existing practices with ISO 27001-style controls is rarely realistic. The ISMS owner should focus on:

    • Mapping, not replacing, controls: Identify where existing QMS, safety, and engineering controls already meet or partially meet ISO 27001 requirements, and document equivalence instead of forcing new parallel processes.
    • Risk-based prioritization: Concentrate on high-risk interfaces (e.g., remote access into OT, cross-plant connectivity, vendor support routes) rather than trying to standardize every legacy asset at once.
    • Change-control alignment: Ensure that any new security controls go through established change-control, validation, and qualification gates for regulated equipment.

    This is another reason why ownership at the enterprise risk/security level is important: they can negotiate realistic timelines and risk acceptances that respect operational and regulatory constraints.

    How to decide in your organization

    When you formalize ISO 27001 ownership:

    1. Place accountability with the function that already owns enterprise risk or information security policy (commonly CISO/CIO or central risk/compliance), not within a single plant or a single IT/OT team.
    2. Form an ISMS steering group with IT, OT, Quality, and operations leadership to agree on scope, priorities, and risk criteria.
    3. Document a RACI that clearly distinguishes ISMS-level accountability from domain-level responsibility for control implementation in IT and OT.
    4. Align with existing management systems (QMS, safety, validation) to avoid duplicate processes and to ensure security changes do not disrupt qualified and validated operations.

    The result is a single accountable ISO 27001 owner, with shared responsibility across IT and OT that reflects how your plants actually run.

  • ISO/IEC 27001:2022

    ISO/IEC 27001:2022 is the 2022 edition of the international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Information Security Management System (ISMS). It provides a structured framework for managing information security risks for all types of organizations, including manufacturers operating regulated production and OT/IT environments.

    The standard covers how an organization defines the scope of its ISMS, assesses information security risks, selects and applies controls, and monitors performance and improvement. It is technology neutral and can be applied to on-premises systems, cloud services, operational technology (OT), and integrated IT/OT architectures.

    Key elements

    ISO/IEC 27001:2022 commonly refers to:

    • ISMS requirements: Clauses that define management-system practices such as context, leadership, planning, support, operation, performance evaluation, and improvement.
    • Annex A reference controls: A catalog of information security controls organized into themes such as organizational, people, physical, and technological controls. These are references for risk treatment, not a mandatory checklist.
    • Risk-based approach: The requirement to identify information security risks, define risk criteria, choose treatments, and document decisions in a statement of applicability.
    • Continuous improvement: Expectations for monitoring, internal audits, management review, and corrective actions to keep the ISMS effective and up to date.

    Use in industrial and regulated manufacturing environments

    In manufacturing, ISO/IEC 27001:2022 is commonly used to structure information security around systems such as MES, ERP, historians, lab systems, and OT networks. Typical applications include:

    • Defining how access to production and quality systems is governed and logged.
    • Aligning network segregation, remote access, and patching practices for OT assets with formal risk assessments.
    • Coordinating information security with quality management, document control, and audit readiness processes.
    • Supporting supplier and customer expectations around information security governance, without implying any specific certification outcome.

    Relation to other ISO/IEC 27000-series documents

    ISO/IEC 27001:2022 sits within the broader ISO/IEC 27000 family of information security standards. For example:

    • ISO/IEC 27002 provides guidance on implementing controls conceptually aligned with the Annex A controls of ISO/IEC 27001:2022.
    • Other 27000-series documents address topics such as OT security, incident management, and sector-specific guidance.

    Organizations often use 27001 as the management-system core and reference additional 27000-series standards for more detailed practices.

    Common confusion

    • Standard vs. certification: ISO/IEC 27001:2022 is a written standard. Certification is a separate process conducted by external bodies. The term “ISO 27001” is often used loosely to mean both, which can cause misunderstanding.
    • “Four categories” of controls: Training materials sometimes group Annex A controls into a small number of categories for teaching purposes. ISO/IEC 27001:2022 itself defines its own control structure and naming; it does not formally define a “four category” model.
    • 27001 vs. 27002: ISO/IEC 27001:2022 defines ISMS requirements and references control themes. ISO/IEC 27002 provides detailed implementation guidance for controls. They are related but not interchangeable.

    Context of the 2022 edition

    The 2022 edition updates and replaces earlier editions of ISO/IEC 27001. It aligns its Annex A controls with the revised ISO/IEC 27002 structure, streamlines and renames several controls, and reflects current practices in areas such as cloud services and modern networked environments. When organizations refer to “ISO 27001” in current projects or contracts, they often mean ISO/IEC 27001:2022 unless an earlier edition is explicitly specified.