In 2024, the average data breach cost reached an all-time high of $4.88 million, with organizations taking an average of 277 days to identify and contain a breach. Traditional vulnerability scanning tools have become insufficient. They generate thousands of false positives, require extensive human interpretation, and lack the contextual intelligence to simulate a real attacker’s decision-making process.
Artificial Intelligence for Cybersecurity Education and Training : This paper introduces the AutoPentest-DRL autopentest-drl
In its black-box configuration, the agent starts with no prior knowledge of the target and learns the environment through iterative scanning and exploitation. or a breakdown of the DRL reward system used in this framework? require extensive human interpretation
#CyberSecurity #Pentesting #AI #DeepLearning #InfoSec #RedTeaming #AutoPentestDRL 🚀 Quick Start Guide autopentest-drl
Operation Execution: Once a path is determined, the framework automates the actual technical steps—such as scanning ports or launching exploits—to validate the theoretical findings on physical or virtual infrastructure.
