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Showing posts with the label LLM Pentesting

How Early Should LLM Pentesting Be Introduced in AI Development?

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AI is literally everywhere now- from chatbots answering customer questions to systems predicting trends, Large Language Models (LLMs) are changing the way UK businesses work. But as AI is growing smarter, risks are too. Hackers are getting more advanced and can exploit weak spots in AI models so that they can steal data, manipulate results, or even shut down services. That is where LLM Pentesting comes in the picture. Pentesting is a process which checks for weaknesses in the model before someone else finds and exploits them- causing you a lot of harm. At FORTBRIDGE, we are all about helping help UK businesses keep their AI safe with specialised pen-testing services. But when should pen-testing start in AI development? The short answer: as early as possible. Why You Can’t Wait for AI Security? There are so many businesses think that security is not important till a model is built. But the reality is that waiting can be pretty risky. Here’s why early pen-testing matters: · ...

The Ethics of LLM Pentesting: Where Do We Draw the Line?

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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 ...