AI-Assisted Penetration Testing Platforms: Bridging the Gap Between Ethical Hacking and Automated Security Assessments
Keywords:
Artificial Intelligence, Penetration Testing, Ethical Hacking, Machine LearningAbstract
Penetration testing is a critical component of cybersecurity, aimed at identifying vulnerabilities within systems before malicious attackers can exploit them. Traditionally, penetration testing has relied on skilled ethical hackers to manually identify security weaknesses. However, as cybersecurity threats become more sophisticated and widespread, the need for more efficient, scalable, and automated penetration testing solutions has grown. AI-assisted penetration testing platforms are emerging as a solution to bridge the gap between manual ethical hacking and fully automated security assessments. These platforms combine the expertise of ethical hackers with the power of AI to enhance testing accuracy, speed, and scalability. This paper explores the role of AI in penetration testing, the technologies behind AI-assisted platforms, their applications in cybersecurity, and the challenges they face in implementation. It also examines the future potential of these platforms to transform the landscape of ethical hacking and vulnerability assessment.
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