TRACK #5: AI in Cybersecurity Applications

CHAIRS

Andrejs Romanovs, Maha Charfeddine, Wajih Letaief

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.