As enterprise engineering teams rush to integrate Large Language Models (LLMs) into their internal knowledge bases using Retrieval-Augmented Generation (RAG), a massive new attack surface has emerged. We are no longer just worrying about SQL injections or Cross-Site Scripting (XSS). The integration of autonomous text generators has introduced a highly sophisticated vulnerability: Indirect Prompt Injection…

Deploying state-of-the-art Computer Vision (CV) models is rarely a plug-and-play experience. While research papers boast flawless inference architectures, the reality of implementing these models into a production pipeline is a chaotic landscape of tensor dimension mismatches, memory leaks, and agonizing mathematical misalignments. In this debugging log, we will perform a technical post-mortem on a standard…

Bridging the gap between a local Jupyter Notebook and a production-ready web application is one of the most significant hurdles in modern software development. Data scientists and machine learning engineers often train highly accurate deep learning models or classification algorithms, only to hit a brick wall when attempting to deploy them into a modern web…