(TR06) (INCYBER) Penetration testing at AI speed?
Penetration testing that harnesses the power of artificial intelligence is a major step forward in the cybersecurity sector. These assessments use the advanced capabilities of AI to automate and accelerate the identification of vulnerabilities and intrusion attempts in IT systems. By leveraging techniques such as source code analysis, configuration error detection, and the creation of targeted attacks, AI can quickly pinpoint weak points and simulate realistic attack scenarios. However, it is important to note that AI-based penetration testing is not a solution in itself. It needs to be integrated into a comprehensive cybersecurity strategy and combined with other protective measures, continuous monitoring, and proactive risk management. Furthermore, data confidentiality and ethical considerations must serve as a compass for the responsible use of AI in penetration testing, to avoid compromising security and privacy. How does the use of AI in penetration testing affect the way attack tactics and defense countermeasures evolve? How might attackers themselves exploit AI to circumvent AI-based defenses?
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