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Jason Crossland

The course "Artificial Intelligence Industrial Control Systems Security" explores the intersection of artificial intelligence (AI) and industrial control systems (ICS) security, focusing on the safety, trust, and privacy of AI technologies within critical infrastructures. Learners will gain a comprehensive understanding of the key cybersecurity challenges faced by ICS and the role AI can play in mitigating these risks. Through the exploration of large language models (LLMs), regulatory frameworks, and advanced ICS protocols, students will learn how to implement robust security measures for AI systems and industrial control environments.

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The course "Artificial Intelligence Industrial Control Systems Security" explores the intersection of artificial intelligence (AI) and industrial control systems (ICS) security, focusing on the safety, trust, and privacy of AI technologies within critical infrastructures. Learners will gain a comprehensive understanding of the key cybersecurity challenges faced by ICS and the role AI can play in mitigating these risks. Through the exploration of large language models (LLMs), regulatory frameworks, and advanced ICS protocols, students will learn how to implement robust security measures for AI systems and industrial control environments.

The course stands out by providing hands-on learning experiences in critical areas such as supply chain risks, cybersecurity for PLCs, and OT protocols. By combining AI principles with real-world ICS security practices, learners will be equipped to analyze and respond to emerging threats in both AI and ICS sectors. This unique approach ensures a deeper, more integrated understanding of how AI can be applied to enhance cybersecurity in industrial environments. Whether you're a professional or a beginner, this course will prepare you to tackle the most pressing security challenges at the intersection of AI and industrial control systems.

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Syllabus

Course Introduction
This course provides a comprehensive exploration of the safety, cybersecurity, and privacy implications of AI systems and large language models (LLMs). Students will evaluate the accountability of AI under the law and investigate governance frameworks. The course also focuses on the security challenges specific to Operational Technology (OT) and Industrial Control Systems (ICS), highlighting key vulnerabilities and operational differences from IT. Practical skills in using tools like Wireshark for cybersecurity analysis and implementing protective measures for PLCs will be emphasized. Through discussions and hands-on activities, learners will gain a robust understanding of the complex interplay between technology, security, and regulatory requirements.
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Artificial Intelligence (AI): Safety, Trust, Security and Privacy
This module explores the safety and cybersecurity aspects of AI systems, focusing on evaluating their security, privacy, and autonomous concerns. It also covers the applicability and functionality of large language models (LLMs), including how algorithms and learning patterns enhance their performance.
Artificial Intelligence: Policy and Governance
This module explores the legal accountability of AI systems, examining how they are regulated and governed. It covers human factors in computing systems and the policies that AI systems fall under. Students will assess how ChatGPT contributes to or detracts from value and analyze the impact of chatbots on large language models (LLMs).
Industrial Control Systems I
This course explores the Purdue Enterprise Reference Architecture Model and Unified Facilities Criteria, providing a framework for industrial control systems (ICS). It covers basic control systems like PLC, SCADA, and DCS, and examines the operational differences between IT and OT environments. Students will learn about key cybersecurity control elements to enhance ICS security, identify top vulnerabilities from a cyber perspective, and understand the usage and implementation of PLC application firewalls and software whitelisting.
Industrial Control Systems II
In this module, we will continue our discussion of Industrial Control System (ICS) networks. Specifically discussing what encompasses supply chain risks, Original Equipment Manufacturers/Vendors, and techniques for mitigating these risks. We will also discuss and examine several different types of ICS/OT protocols regarding their characteristics, purposes/implementations, the cybersecurity concerns with various OT proprietary and open protocols, and the differences between OT and IT environments.

Good to know

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Provides hands-on learning experiences in critical areas such as supply chain risks and cybersecurity for PLCs, which are essential for practical application
Explores the Purdue Enterprise Reference Architecture Model, which provides a framework for understanding and securing industrial control systems
Examines the legal accountability of AI systems, which is increasingly important in the context of regulatory compliance and ethical considerations
Emphasizes practical skills in using tools like Wireshark for cybersecurity analysis, which is valuable for real-world threat detection and mitigation
Discusses cybersecurity concerns with various OT proprietary and open protocols, which is crucial for understanding the unique challenges in OT environments
Covers basic control systems like PLC, SCADA, and DCS, which builds a strong foundation for beginners in industrial control systems

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Artificial Intelligence Industrial Control Systems Security with these activities:
Review Networking Fundamentals
Reinforce your understanding of networking concepts, which are crucial for grasping the intricacies of Industrial Control Systems (ICS) and their communication protocols.
Show steps
  • Review the OSI model and TCP/IP stack.
  • Study common networking protocols like TCP, UDP, and HTTP.
  • Practice subnetting and IP addressing.
Review 'Practical SCADA for Industry'
Gain a deeper understanding of SCADA systems, a key component of Industrial Control Systems (ICS), and their security implications.
Show steps
  • Read the chapters on SCADA architecture and protocols.
  • Focus on the sections discussing security vulnerabilities and mitigation strategies.
  • Take notes on key concepts and terminology.
Wireshark Packet Analysis Exercises
Enhance your ability to analyze network traffic using Wireshark, a crucial skill for identifying and mitigating security threats in ICS environments.
Browse courses on Wireshark
Show steps
  • Download and install Wireshark.
  • Capture network traffic from a simulated ICS environment.
  • Analyze the captured packets to identify anomalies and potential security breaches.
  • Practice filtering and dissecting different ICS protocols.
Four other activities
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Create a Presentation on AI Security Risks in ICS
Solidify your understanding of AI security risks in ICS by creating a presentation that summarizes key vulnerabilities and mitigation strategies.
Show steps
  • Research common AI security risks in ICS environments.
  • Develop a presentation outline covering key vulnerabilities, attack vectors, and mitigation strategies.
  • Create visually appealing slides with clear and concise information.
  • Practice delivering the presentation to a peer or colleague.
Develop a Threat Model for an AI-Powered ICS
Apply your knowledge to develop a comprehensive threat model for an AI-powered ICS, identifying potential vulnerabilities and attack vectors.
Show steps
  • Identify the key components of the AI-powered ICS.
  • Analyze potential threats and vulnerabilities for each component.
  • Develop mitigation strategies for each identified threat.
  • Document the threat model in a clear and concise report.
Review 'Industrial Cybersecurity'
Expand your understanding of industrial cybersecurity principles and best practices for securing critical infrastructure systems.
Show steps
  • Read the chapters on risk management and security architectures.
  • Focus on the sections discussing incident response and recovery.
  • Take notes on key concepts and terminology.
Design a Secure PLC Configuration
Apply your knowledge of PLC security to design a secure configuration that mitigates common vulnerabilities.
Browse courses on PLC
Show steps
  • Research common PLC vulnerabilities and security best practices.
  • Develop a secure PLC configuration that addresses these vulnerabilities.
  • Document the configuration and explain the security measures implemented.
  • Simulate the configuration in a virtual environment to test its effectiveness.

Career center

Learners who complete Artificial Intelligence Industrial Control Systems Security will develop knowledge and skills that may be useful to these careers:
PLC Security Specialist
A programmable logic controller or PLC security specialist focuses specifically on securing programmable logic controllers. This course is particularly relevant as it features modules that detail PLC cybersecurity, making this is an excellent foundation for becoming a PLC security specialist. The course discusses real-world implementation of PLC security by exploring practical measures such as application firewalls and software whitelisting. You gain specific knowledge of key vulnerabilities within ICs, and the course details how to mitigate these threats. This course offers comprehensive training in both fundamentals and advanced protection techniques, making it an ideal path for a career as a PLC security specialist.
Industrial Cybersecurity Analyst
An industrial cybersecurity analyst safeguards critical infrastructure by identifying vulnerabilities and implementing security measures. This role requires a deep understanding of industrial control systems, which this course provides through its focus on operational technology and ICS security. Specifically, topics such as supply chain risks and cybersecurity for programmable logic controllers, or PLCs, are essential for an industrial cybersecurity analyst. Gaining hands-on experience with tools like Wireshark, as covered by the course, will aid in analyzing network traffic and enhancing security, while understanding the Purdue Enterprise Reference Architecture Model will enable better system design and defense. This specialized training prepares you to tackle the unique challenges within operational technology environments, which a generic cybersecurity course would not provide.
Operational Technology Security Engineer
An operational technology security engineer is responsible for securing the hardware and software used in critical infrastructure. This course is directly relevant by exploring vulnerabilities and operational differences between IT and OT. It provides deep insights into industrial control systems, including PLC security, SCADA, and DCS. As an operational technology security engineer, you'll address network protocol concerns, and this course will enable you to understand both proprietary and open protocols in OT. Knowledge of the Purdue Enterprise Reference Architecture Model, as you learn in the course, helps provide a systematic approach to designing well-defended OT networks. Overall, this training can help you safeguard against threats in the unique landscape of industrial environments.
SCADA Security Analyst
A SCADA security analyst focuses on securing Supervisory Control and Data Acquisition systems, which are vital for controlling industrial processes. This course prepares you to be a SCADA security analyst as you gain a comprehensive understanding of industrial control systems including SCADA, and also PLC and DCS systems. By taking this course, you acquire insights into cybersecurity concerns and countermeasures relevant to SCADA networks.You learn to identify vulnerabilities and implement security controls, which are essential skills for a SCADA security analyst. This focused nature of the training positions one well for addressing the unique security challenges in SCADA environments.
ICS Security Consultant
An ICS security consultant provides expert advice on securing industrial control systems. This course helps one become an ICS security consultant by providing an overview of the Purdue Enterprise Reference Architecture Model, Unified Facilities Criteria, and an examination of basic control systems such as PLC and SCADA systems. Examining these systems in the context of cybersecurity provides a sound foundation for a consultant. By taking this course you will gain insights into supply chain risks and how to mitigate these risks in industrial control systems. The course covers advanced ICS protocols, and the implementation of robust security measures, which are key skills for an ICS security consultant. This focused course is an ideal choice for preparing for this type of work.
AI Security Specialist
An AI security specialist focuses on protecting artificial intelligence systems from threats and vulnerabilities. This course directly addresses this need by covering the safety, trust, security, and privacy of AI technologies. The course's exploration of large language models, or LLMs, and their associated security concerns is particularly helpful for an AI security specialist. You will be prepared to tackle vulnerabilities in AI systems by thoroughly examining governance frameworks and policy issues, as well as understanding how AI systems are regulated. By providing hands-on experience and a strong understanding of practical cybersecurity measures, this course is essential for anyone looking to pursue this specialized field.
OT Protocol Specialist
An operational technology or OT protocol specialist focuses on the security and implementation of communication protocols within industrial environments. This course helps prepare you for a job as an OT protocol specialist as it explores various OT protocols, including both proprietary and open standards. The course explains specific implementation of these protocols and examines their cybersecurity concerns, which are crucial for an OT protocol specialist. Moreover, the course material compares and contrasts OT and IT environments, which will help better inform decisions involving protocol deployment and security. If you wish to be an OT protocol specialist, this course will prepare you for the kinds of tasks and issues that you would confront on the job.
Supply Chain Security Specialist
A supply chain security specialist is responsible for managing and mitigating security risks throughout the supply chain. This course will be useful in your career as a supply chain security specialist due to the course's focus on supply chain risks within industrial control systems. You will be able to understand the unique risks associated with various suppliers and vendors in the industrial sector. This course specifically focuses on industrial control system supply chains and how to mitigate the risks they present, giving one a framework for approaching this complex challenge. You will learn about specific vulnerabilities that could be exploited to target industrial organizations, positioning you for success in this unique role.
Network Security Engineer
A network security engineer designs, implements, and maintains an organization's network security. This course helps a network security engineer understand industrial control systems and their cybersecurity implications, especially in environments where IT and OT networks converge. It teaches the operational differences between IT and OT environments, which is a critical aspect of securing such networks. Additionally, you will learn about key vulnerabilities and how to implement cybersecurity controls for ICS and OT environments. The opportunity to use tools like Wireshark to analyze network traffic, as part of this course, can help a network security engineer better understand network behavior and identify potential threats, making it an ideal choice for those interested in this career.
Cybersecurity Risk Manager
A cybersecurity risk manager identifies, assesses, and mitigates risks related to an organization's security. This course may be useful because of its focus on security challenges in operational technology and industrial control environments, helping build a foundation in risk assessment within critical infrastructure. The course provides deep insight into supply chain security, PLC vulnerabilities, and OT protocols, all of which are essential for a cybersecurity risk manager working with industrial systems. As such, risk managers will learn to assess risks related that are associated with AI and ICS, and this will help them implement controls and governance frameworks. You will gain an understanding of how to evaluate and manage risks specific to the intersection of AI and industrial control systems, a valuable skill for this role.
AI Ethics Officer
An AI ethics officer develops and implements ethical guidelines for the use of artificial intelligence within an organization. This course may be useful to someone aspiring to be an AI ethics officer due to its examination of the legal and ethical implications of AI systems, including the human factors in computing. The course will help build a foundation for analyzing the societal impacts of AI, and how to govern their usage. Exploring governance frameworks and the policies that regulate AI is particularly useful for this position. You gain practical insights into the safety of AI systems, which are crucial for evaluating the ethical trade-offs of AI applications. This course will help you create a policy and ethical guidelines within your organization.
AI Governance Analyst
An AI governance analyst ensures that AI systems are developed and used responsibly, ethically, and in compliance with regulations. This course may be useful due to its exploration of the legal accountability of AI systems and the various regulatory frameworks that govern them, forming a robust foundation for this career path. The course is particularly beneficial with its focus on human factors in computing systems and the policies AI systems fall under. An AI governance analyst would find value in this course's practical insights into evaluating AI safety, privacy, and autonomous concerns, as well as the governance of large language models. This specialized knowledge ensures the analyst can help organizations ethically deploy AI.
IT Security Auditor
An IT security auditor evaluates an organization's information technology systems to identify security weaknesses and ensure compliance with standards. This course may be useful by providing insights into the unique cybersecurity challenges associated with industrial control systems, an area that IT security may sometimes not have exposure to. The course dives into operational technology and the ways in which it differs from IT environments. In so doing, this course helps an IT security auditor develop a more holistic and informed approach to their task. This understanding of OT vulnerabilities, and of the security measures applicable to PLC devices, helps the auditor gain a broader understanding of security.
Control Systems Engineer
A control systems engineer designs, develops, and maintains control systems for industrial processes. This course may be useful for a control systems engineer by providing a security perspective on industrial control systems, and exposing you to common IT/OT issues. The course introduces the Purdue Enterprise Reference Architecture Model as a framework for designing control systems, and covers the basics of PLCs and SCADA systems. It is useful to a control system engineer to understand the cybersecurity elements and vulnerabilities within these systems. By taking this course you would therefore gain practical insights to the security aspects of control systems, which are important for ensuring the reliability and safety of industrial processes.
Data Privacy Analyst
A data privacy analyst is responsible for ensuring an organization's compliance with data protection laws and regulations. This course may be useful as it addresses the privacy implications of Artificial Intelligence systems and large language models, which are vital for a data privacy analyst. The course discusses how to evaluate the privacy concerns that are associated with AI, and it also explores governance frameworks. By helping build a foundation in understanding the privacy concerns related to AI, as well as how to mitigate these risks, a data privacy analyst can use this knowledge to inform their work, though the course is not purely oriented to data privacy.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Artificial Intelligence Industrial Control Systems Security.
Provides a comprehensive overview of SCADA systems, which are a critical component of Industrial Control Systems (ICS). It covers the architecture, protocols, and security considerations for SCADA systems. Reading this book will provide a solid foundation for understanding the practical aspects of ICS security. It is commonly used as a reference by industry professionals.
Provides a broad overview of industrial cybersecurity, covering topics such as risk management, security architectures, and incident response. It valuable resource for understanding the challenges and best practices for securing critical infrastructure systems. This book is useful as additional reading to provide more depth to the existing course. It is commonly used as a reference by industry professionals.

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