У нас вы можете посмотреть бесплатно Automated Pentesting with AI: From Recon to Reporting by Jay Panchal или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
BSides Edmonton 2025 This video was captured using a locked-down, unmanned camera. As a result, there may be moments when speakers are not fully in the camera shot. Additionally, the audio quality captured by the podium microphone is dependent on the proximity of the speaker to the mic. This means that variations in audio clarity may occur if the speaker moves away from the microphone during their presentation. We appreciate your understanding of these technical aspects. ___________________________________________________________________________ As cyber threats grow in scale and sophistication, security teams face increasing pressure to identify vulnerabilities faster than ever before. Traditional penetration testing is powerful, but manual methods are time-intensive, inconsistent, and unable to keep pace with modern attack surfaces. This talk explores how Artificial Intelligence can revolutionize penetration testing by automating the entire lifecycle—from reconnaissance and scanning to exploitation, post-exploitation, and reporting. Attendees will see how AI-driven workflows enhance efficiency, adapt to dynamic environments, and generate actionable insights with minimal human oversight. Through real-world scenarios, a live demo of automated pentesting in action, and a discussion on ethical and operational challenges, this session provides both practitioners and decision-makers with a roadmap for integrating AI into offensive security. By the end, participants will understand not just the technology, but also the governance, limitations, and future opportunities of AI-augmented pentesting.