You built an AI feature. It works great in testing. Then someone types the wrong thing and your model does something it was never supposed to do. Here are the real attacks happening against LLMs right now, and how I built an open source system to c...

> This attack does not look like an attack. That is exactly what makes it dangerous. I was working on one of my project failure intelligence system an open source LLM security guardrail when I came across a 2024 Google DeepMind paper on many-shot ja...

LLMs don't throw exceptions when they hallucinate. They return 200 OK with a confident wrong answer. That's the problem I set out to fix. Here's how I built Failure Intelligence Engine FIE — a real-time observability layer that detects, classifies, ...

LLMs are becoming part of real products now. They answer customers, summarize documents, write code, search internal knowledge bases, and make decisions inside workflows. But most LLM apps still have a quiet problem: > We usually find the failure a...