industrial-control▌

This skill covers detecting anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems. It addresses function code monitoring, register range validation, timing analysis, unauthorized client detection, and deep packet inspection for malformed Modbus frames. The skill leverages Zeek with Modbus protocol analyzers, Suricata IDS with OT rules, and custom Python-based detection using Markov chain models for normal Modbus transaction sequences.

This skill covers conducting cybersecurity assessments specific to oil and gas facilities including upstream (exploration/production), midstream (pipeline/transport), and downstream (refining/distribution) operations. It addresses SCADA systems controlling pipeline operations, DCS for refinery process control, safety instrumented systems for hazardous processes, remote terminal units at unmanned wellhead sites, and compliance with API 1164, TSA Pipeline Security Directives, IEC 62443, and NIST Cybersecurity Framework for critical infrastructure.

This skill covers designing and implementing security zones and conduits for industrial automation and control systems (IACS) per IEC 62443-3-2. It addresses zone partitioning based on risk assessment, assigning Security Level targets (SL-T), designing conduit security controls, implementing microsegmentation with industrial firewalls, and validating zone architecture through traffic analysis and penetration testing against the Purdue Reference Model.

This skill covers conducting comprehensive security assessments of Operational Technology (OT) networks including SCADA systems, DCS architectures, and industrial control system communication paths. It addresses the Purdue Reference Model layers, identifies IT/OT convergence risks, evaluates firewall rules between zones, and maps industrial protocol traffic (Modbus, DNP3, OPC UA, EtherNet/IP) to detect misconfigurations, unauthorized connections, and attack surfaces in critical infrastructure.

This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.