TRACK #5: AI in Cybersecurity Applications

CHAIRS

Andrejs Romanovs, Maha Charfeddine, Wajih Letaief, Lara Mauri

Description

This track addresses the vital role of AI in enhancing cybersecurity measures across various sectors. It focuses on innovative AI-driven solutions to safeguard digital assets and respond to evolving threats.

Key Areas of Interest (not limited to):

• Threat Detection: AI algorithms for identifying and mitigating cyber threats in real-time;
• Network Security Analysis: Utilizing AI to monitor network traffic and detect anomalies indicative of security breaches;
• Fraud Detection Systems: AI applications for identifying fraudulent activities in financial transactions and online services;
• Security Policy Automation: Leveraging AI to automate compliance checks and enforce security protocols;
• Incident Response Optimization: AI-driven tools for improving response strategies to security incidents and vulnerabilities;
• Privacy preservation in security applications: AI techniques to enable secure handling of sensitive information;
• Balancing Automation and Human Expertise in Incident Response.