Date: 9-10 September 2025

Time: 0930-1700

Venue: Copthorne King's Hotel

Synopsis: 

AI has also proven to be a powerful tool in cybersecurity, yielding excellent results in domains like the detection of network attacks, malware analysis, and threat intelligence. However, this integration isn't without its challenges. The very power of AI models introduces new vulnerabilities. Adversarial attacks, where malicious actors subtly manipulate input data to trick AI models, and concerns around model explainability and robustness are critical.

This course will delve into the main AI techniques and methods, particularly focusing on their application to network security challenges. The course will also critically examine the inherent gaps and vulnerabilities in AI models, including discussions on adversarial attacks and strategies to enhance the security and trustworthiness of AI systems in real-world deployments.

Target Audience:

This course is designed for AI engineers, professionals and anyone who would like to learn and understand AI technologies in Cybersecurity.

Contents:

1. Basics of Network Security

2. Machine Learning and Deep Learning

3. AI for threat detection (with hands-on)

4. AI for malware classification

5. AI for email and phishing detection (with hands-on)

6. AI for network traffic and behavourial analytics

7. AI for ethical hacking (with hands-on)