3401 - Session-based subject
Cyber Security and AI
Discover the transformative role of AI in cybersecurity with this course, where you'll learn to use machine learning for threat detection and incident response through engaging case studies and practical activities.
Learn how artificial intelligence is revolutionizing cybersecurity and how these advancements can be integrated into organizational processes and governance. Gain insights into fundamental cybersecurity principles, such as threat identification, risk assessment, and data protection, while exploring how AI-powered tools enhance security measures. Develop skills in using machine learning models and automation to detect cyber threats, prevent attacks, and improve incident response. In this course, you will gain both knowledge and skills in:
- AI and Cybersecurity Principles: Understand the integration of AI in organizational processes and governance.
- Challenges and Benefits: Explore the challenges and benefits of using AI for practical tasks in cybersecurity.
- Risk Assessment: Learn to identify typical risks associated with AI-enabled systems.
- Data Analysis: Develop skills in analyzing raw data related to cybersecurity problems.
- Attack Detection and Response: Understand data-driven attack detection and response to protect ICT infrastructure.
- AI Governance: Identify and develop appropriate AI governance models.
- Real-World Applications: Assess real-world examples of potential weaknesses and attacks against AI-enabled ICT solutions
Learning outcomes
As a student, you have the ability to define and explain the principles of AI and Cyber Security within organizational processes and governance. You can articulate the challenges and benefits of using AI to solve practical tasks in Cyber Security, adhering to existing frameworks and standards. You are capable of explaining and defining the typical risks associated with AI-enabled systems. Additionally, you can define and explain the typical approaches used for data analysis and AI model customization. In terms of skills, you can analyze raw data related to Cyber Security problems that need solving. You are proficient in using community-accepted AI tools to perform exploratory data analysis and build the necessary workflow routines. You can evaluate ICT solutions with AI capabilities to assess their vulnerability to potential attacks. Furthermore, you understand the fundamentals of data-driven attack detection and response, which are crucial for protecting ICT infrastructure. Regarding general competence, you can identify and develop an appropriate AI governance model based on the analysis of a business case. You are able to conduct assessments using real-world examples to identify possible weaknesses and attacks against AI-enabled ICT solutions. You can design and implement routines using standard tools and libraries to process data effectively. Lastly, you are equipped to discuss various aspects of AI applications in real-world scenarios.