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KAUST Research Conference on Robotics and Autonomy
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penetration testing

Advanced Breach and Attack Simulation using ML

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Sat, Jul 6 2024
Internship

cybersecurity machine learning deep learning penetration testing threat modeling Generative Adversarial Networks GaN

Cybersecurity is becoming a need more than ever. Organizations need to protect their digital assets and are required to earn certifications to prove the compliance to the regulations and rules. For this, these assets must be assessed to ensure the target security posture and to get certified or pass an audit on yearly basis. This is a daunting and costly task as it often requires a third-party tester that tries to penetrate the system, under agreement. Breach and Attack Simulation is a new method that allows to do this penetration testing in-house, using some automation tools. Some of these

KAUST Research Conference on Robotics and Autonomy (RobotoKAUST)

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