Security researcher James Kettle conducted a test of AI‑driven hacking techniques and found that the most powerful methods still rely on human involvement. In a recent WIRED report, Kettle pushed AI tools to the edge of what they can do, revealing that even the most advanced systems need human guidance to succeed.
The experiment demonstrated that AI can quickly identify potential vulnerabilities, but a human operator must decide how to exploit them and manage the legal and ethical implications. According to WIRED, Kettle's work shows the synergy between machine efficiency and human judgment is essential for effective cyber‑attacks.
The findings underscore that, despite rapid advances in AI, fully autonomous hacking remains limited and requires human oversight. This highlights the ongoing debate about the role of AI in cybersecurity and the necessity of human expertise in leveraging these tools responsibly.