Artificial intelligence in penetration testing: leveraging AI for advanced vulnerability detection and exploitation
Mariia Kozlovska, Andrian Piskozub, Volodymyr Khoma · Advances in Cyber-Physical Systems · 2025
The article examines the ways artificial intelligence is influencing the penetration testing procedure. As technology advances and cyber threats grow more common, conventional testing methods are insufficient. Artificial intelligence aids in automating processes like vulnerability detection and real-world attack simulation, leading to quicker, more precise results with reduced dependence on human input. Machine learning is a game-changer in identifying hidden security flaws by analyzing past attacks and abnormal patterns. Tools mentioned in the article are revolutionizing vulnerability detection, traffic monitoring, and attack simulations. These tools have better key performance metrics, such as scan time, false positive rate, detection accuracy, mean time to detect, zero-day threats/month, compared to traditional penetration testing tools.