Information Assurance Analysis

About this course

This specialization is designed for post-graduate students aiming to advance their skills in AI, cybersecurity, & industrial control systems (ICS) security. Through three in-depth courses, you will explore AI safety, trust, security, privacy, and critical topics like AI governance, policy frameworks, and the impact of large language models (LLMs) such as ChatGPT. Also, you will gain a comprehensive understanding of (ICSs), including their architecture, security risks, and best practices for risk assessment and incident response. You will be equipped to address cybersecurity challenges within both AI and operational technology (OT) systems, secure industrial control networks, and manage the convergence of AI and cybersecurity in modern infrastructures. This program prepares you to navigate the evolving landscape of AI and ICS security, positioning you for roles that require expertise in securing both AI technologies and industrial networks. The specialization also covers malware, anti-virus, vulnerability principles, Internet of Things (IoT), Mobile Application Security, Border Gateway Protocols (BGP), anonymization, ICS, DNS Resource Record Types, and analyzing DNS, HTTP, SMTP, and TCP protocols. Tools include SiLK, NetFlow, Wireshark, IPTables, Splunk, Node-Red IoT framework, virtual machines, and TCPDump. Further exploration will include vulnerabilities and countermeasures for IT & OT protocols like WNAN, ZigBee, EMV, SIGFOX, CIP, MODBUS, DNP3, OPC, HART, BACnet, & ICCP.

Course objectives

• to advance knowledge in AI and cybersecurity
• to prepare for roles in securing AI technologies
• to explore best practices for incident response in ICS