Large Language Models (LLMs) are transforming penetration testing (pen testing), leveraging their advanced reasoning and automation capabilities to simulate sophisticated cyberattacks. Recent research demonstrates how autonomous LLM-driven systems can effectively perform assumed breach simulations in enterprise environments, particularly targeting Microsoft Active Directory (AD) networks. These advancements mark a significant departure from traditional pen testing methods, […] The post Autonomous LLMs Reshaping Pen Testing: Real-World AD Breaches and the Future of Cybersecurity appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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