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.
Artificial Intelligence Industrial Control Systems Security
Artificial Intelligence Industrial Control Systems Security
This course is part of Information Assurance Analysis Specialization
Instructor: Jason Crossland
Included with 
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Intermediate level
Recommended experience
31 hours to complete
3 weeks at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Learn how to assess and address safety, privacy, and security concerns in AI systems and their impact on cybersecurity.
Understand the legal and policy frameworks surrounding AI technologies and their application in industrial settings.
Gain expertise in securing industrial control systems (ICS), including PLC, SCADA, and DCS, and mitigating their vulnerabilities.
Explore advanced ICS security strategies, focusing on risk assessment, incident response, and securing OT protocols and supply chains.
Skills you'll gain
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Recently updated!
December 2024
Assessments
12 assignments
Taught in English
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This course is part of the Information Assurance Analysis Specialization
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There are 5 modules in this course
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.
What's included
1 video2 readings
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.
What's included
5 readings3 assignments6 plugins
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).
What's included
3 readings3 assignments4 plugins
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.
What's included
4 readings3 assignments3 plugins
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.
What's included
3 readings3 assignments4 plugins
Instructor
Offered by
Recommended if you're interested in Security
Johns Hopkins University
Johns Hopkins University
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