You’ll explore how AI transforms cyber security and develop the skills to apply machine learning and deep learning to real-world security challenges. You’ll get hands-on experience building AI-driven solutions for intrusion detection, malware analysis, and threat intelligence. Along the way, you’ll learn how to assess model performance, work with cyber security datasets, and integrate AI into security operations. You’ll also dive into the risks AI systems face, from adversarial attacks to privacy threats, and explore ways to defend against them. By the end, you’ll be equipped to apply AI in cyber security while ensuring the performance and security of your models.
Contact hours 36
Research Project Report -30%
Individual Presentation on the State of Art -20%
Examination - 50%
reassessment: Like for like
Including composite form of reassessment for failed components – Research Project Report and Examination
On completing the module, students will be able to:
Critically evaluate and select AI techniques for cyber security challenges, considering both strengths and limitations.
Design and implement AI-driven security solutions, assessing their effectiveness in real-world threat detection and response.
Analyse and interpret the performance of AI models in cyber security, identifying biases, limitations, and areas for improvement.
Assess security risks in AI-driven cyber security systems, including adversarial threats, data poisoning, and privacy concerns.
Reflect on and debate the ethical, legal, and operational implications of integrating AI into cyber security, proposing solutions for responsible AI deployment.
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