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Information Security in Digital transformation in Operations

$249.00
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Self-paced • Lifetime updates
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the breadth of a multi-workshop program developed for organisations integrating security into live digital operations, covering the same technical and procedural rigor found in advisory engagements focused on securing industrial control systems during transformation.

Module 1: Aligning Security Strategy with Digital Transformation Roadmaps

  • Decide whether to retrofit legacy operational technology (OT) systems with security controls or decommission and replace them based on lifecycle and integration requirements.
  • Conduct joint threat modeling sessions between IT, OT, and business units during the design phase of new digital initiatives such as IoT deployment in manufacturing.
  • Integrate security KPIs into enterprise transformation governance dashboards to ensure executive visibility and accountability.
  • Assess the risk exposure of third-party cloud providers used for industrial data analytics against operational continuity requirements.
  • Negotiate security requirements in contracts with automation vendors during procurement of smart sensors and control systems.
  • Define escalation paths for security issues discovered during agile development sprints in digital twin implementations.
  • Balance speed of deployment for digital work instructions on mobile devices with secure authentication and data-at-rest encryption.

Module 2: Securing Converged IT/OT Environments

  • Implement network segmentation using unidirectional gateways between corporate IT networks and production control systems in critical infrastructure.
  • Configure secure remote access for maintenance engineers using jump hosts with multi-factor authentication and session logging.
  • Develop patch management procedures for OT systems that require 24/7 uptime, including change freeze windows and rollback protocols.
  • Deploy host-based intrusion detection on engineering workstations that connect to programmable logic controllers (PLCs).
  • Map asset inventories across IT and OT domains using automated discovery tools while respecting operational constraints on network scanning.
  • Establish secure firmware update processes for industrial controllers that prevent unauthorized code execution.
  • Design incident response playbooks specific to OT environments that prioritize safety and availability over confidentiality.

Module 3: Identity and Access Management for Operational Systems

  • Implement role-based access control (RBAC) for SCADA systems aligned with job functions such as operator, supervisor, and maintenance technician.
  • Integrate plant floor systems with enterprise identity providers using SAML or SCIM while maintaining offline authentication capability.
  • Enforce privileged access management for domain administrators who have access to both IT and OT infrastructure.
  • Define time-bound access for third-party contractors connecting to production systems for equipment servicing.
  • Monitor and log access to human-machine interface (HMI) applications for anomaly detection and audit compliance.
  • Design fallback authentication mechanisms for control systems during directory service outages.
  • Manage shared account usage on legacy HMIs by implementing session tagging and activity correlation.

Module 4: Data Protection in Industrial IoT and Edge Computing

  • Classify data generated by edge devices in manufacturing cells based on sensitivity and regulatory requirements (e.g., IP, safety logs).
  • Implement end-to-end encryption for sensor data transmitted from edge gateways to cloud analytics platforms.
  • Configure data retention policies for operational data stored on edge devices to minimize exposure in case of theft.
  • Deploy hardware security modules (HSMs) or trusted platform modules (TPMs) on edge servers for key protection.
  • Establish secure boot processes for edge computing nodes to prevent tampering with local analytics software.
  • Design data anonymization techniques for sharing production performance metrics with external partners.
  • Evaluate trade-offs between real-time processing at the edge and centralized data correlation for threat detection.

Module 5: Third-Party and Supply Chain Risk Management

  • Conduct security assessments of automation vendors during procurement, focusing on software bill of materials (SBOM) transparency.
  • Enforce secure development lifecycle requirements for custom software used in robotic process automation.
  • Monitor for vulnerabilities in open-source libraries used in industrial control system applications.
  • Implement vendor access zones in the network with strict egress filtering for remote monitoring services.
  • Require contractual clauses for incident notification and forensic cooperation in case of supply chain compromises.
  • Validate firmware integrity from equipment suppliers using cryptographic signatures before deployment.
  • Track component provenance for critical control system parts to detect counterfeit or tampered hardware.

Module 6: Security Monitoring and Threat Detection in Operations

  • Deploy network traffic analysis tools capable of detecting anomalous Modbus or Profinet communications in real time.
  • Integrate OT security events into SIEM platforms using syslog or API-based connectors with appropriate normalization.
  • Establish baselines for normal behavior of industrial processes to identify deviations indicating cyber-physical threats.
  • Configure alert thresholds for security monitoring tools to minimize false positives in high-noise operational environments.
  • Design secure data pipelines from air-gapped networks to centralized monitoring systems using data diodes.
  • Implement endpoint detection and response (EDR) on engineering workstations with low-impact agents.
  • Coordinate threat intelligence sharing with industry ISACs while protecting proprietary process information.

Module 7: Incident Response and Business Continuity for Operational Disruptions

  • Define decision criteria for isolating compromised equipment from production lines without triggering safety shutdowns.
  • Conduct tabletop exercises involving operations, safety, and security teams for ransomware scenarios in packaging lines.
  • Pre-stage backup HMIs and control servers in secure locations for rapid recovery during cyber incidents.
  • Establish communication protocols between security operations center (SOC) and operations control room during active incidents.
  • Validate offline backups of PLC logic and HMI configurations for integrity and restoration capability.
  • Document forensic preservation procedures for industrial systems that comply with operational safety constraints.
  • Integrate cyber incident scenarios into enterprise business continuity planning with recovery time objectives (RTOs) for critical processes.

Module 8: Governance, Compliance, and Continuous Improvement

  • Map operational security controls to regulatory frameworks such as NIST SP 800-82, IEC 62443, and GDPR for data processing.
  • Conduct periodic control effectiveness assessments for security measures in automated warehouses.
  • Report security posture metrics to board-level risk committees using operational risk scoring models.
  • Manage exceptions for non-compliant systems with documented risk acceptance and mitigation timelines.
  • Integrate security into change management processes for production line reconfigurations and automation upgrades.
  • Establish a cross-functional governance board with representation from IT, OT, legal, and operations to review security decisions.
  • Implement feedback loops from incident post-mortems to update security architecture and training programs.