FORTBRIDGE

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 ...

In today’s digital world, APIs (Application Programming Interfaces) are everywhere. They power mobile apps, connect cloud services, and keep businesses running smoothly. But here’s the truth: APIs are a hacker’s favorite target . That’s why API Pentesting is no longer optional—it’s essential. At FORTBRIDGE , we help developers and organizations uncover vulnerabilities before attackers do. Let’s break down what every developer should know about API Pentesting—and how to do it right. Why API Security Should Matter to Developers As a developer, you're constantly building and pushing new features through APIs. But even a small flaw can open the door to: ·      Data leaks ·      Authentication bypass ·      Business logic abuse ·      Unauthorized access to sensitive functions Unlike traditional web apps, APIs often expose low-level backend functionality. The more power your API exposes, the m...