The Ethics of LLM Pentesting: Where Do We Draw the Line?
In the rapidly evolving world of cybersecurity, Large Language Models (LLMs) like ChatGPT have emerged as powerful tools. From writing code to answering technical queries, these AI systems are being integrated into products, platforms, and business operations across industries. But with great power comes great responsibility—especially when it comes to LLM Pentesting (penetration testing of language models). At FORTBRIDGE , we take a proactive and ethical approach to security. That includes understanding where the boundaries lie when testing LLMs for vulnerabilities. What Is LLM Pentesting? LLM Pentesting is the practice of testing a language model for weaknesses that attackers could exploit. This includes: Tricking the model into leaking private or proprietary data Prompting it to generate harmful code or malicious outputs Manipulating it into bypassing safety filters or producing offensive content These are not theoretical risks—they are real and increasingly relevant in AI-powered ...