Ethical and practical considerations of AI in pentesting
The integration of AI in pentesting poses a number of ethical and practical challenges that security professionals must face. As we use AI to enhance our capabilities, we also open a Pandora’s box of complex ethical dilemmas and practical challenges.
From an ethical standpoint, the use of AI in pentesting raises questions about accountability and responsibility. When an AI system identifies a vulnerability or suggests an exploit, who bears the responsibility for the actions taken based on that information – the pentester, the AI developer, or the organization deploying the AI? This ambiguity in accountability could lead to situations where ethical boundaries are inadvertently crossed.
Another ethical concern is the potential for AI systems to make decisions that could cause unintended harm. For instance, an AI system might recommend an exploit that, while effective, could cause collateral damage to systems...
