I BUILT AN AI HACKER. IT FAILED SPECTACULARLY

Summary from the TLDR InfoSec newsletter

In this post, the author talks about how they built an autonomous AI pentester chaining tools like Nmap and Burp. It underperformed—few real vulnerabilities, many false results, high costs, and slow runs. Key lessons: LLMs plan well but evaluate poorly, autonomy drifts, and human validation and hybrid AI-assisted workflows outperform pure agentic hacking.