Author(s): Andrii Tkachuk
Originally published on Towards AI.
You’ve shipped an LLM-powered feature. Your RAG pipeline retrieves context, your agent calls a few tools, users are happy. But has anyone on your team asked: what happens when someone actively tries to break it?
Most teams building AI-powered systems today treat security as an afterthought — something you bolt on after the product works. That was a reasonable bet in 2023. It’s a much worse one now.
Photo by Yulia Matvienko on Unsplash
