In this session, we’ll explore how Artificial Intelligence (AI) can enhance cybersecurity by extracting attack vector linked to vulnerabilities, offering a more proactive and efficient approach. Traditional methods of detecting vulnerabilities rely on security researchers manually reverse-engineering attack traffic and emulating potential attack behaviors. While effective, this process is time-consuming and exposes systems to risk during testing, increasing the likelihood of compromise in production environments.

AI addresses this challenge by automating the detection of attack vector and behaviors tied to specific vulnerabilities. This capability enables security teams to identify suspicious activities without constant manual intervention or exposing live systems. By integrating AI into vulnerability prevention, organizations can reduce the risk of attacks in production environments. AI-driven systems can autonomously flag suspicious behaviors or protocols indicative of an active threat.

This AI-powered approach enhances vulnerability prevention, offering stronger and more automated protection, reducing the potential for system compromise and providing a higher level of security.