In this talk, we explore how artificial intelligence and public security tools can help improve the pentesting process by increasing the efficiency and effectiveness of vulnerability detection, while also allowing researchers to focus on more sensitive workflows during analysis.
Use cases are presented in which automation enables complex tasks such as network scanning, application analysis, and even phishing detection—reducing the time and effort required to obtain accurate results. The overall goal of this talk is to help those who are taking their first steps in security understand the power of development and the benefits of automating repetitive tasks to identify vulnerabilities in real-world scenarios. The session was led by our Head of Security Services, Gabriel Franco.
