Glitches in an LLM service do not necessarily show up because of a poorly engineered platform. Even platforms built well can ...

An ML-powered mental health score prediction app built with FastAPI and Random Forest. Features real-time predictions through a web interface, with Python, Scikit-learn, Pandas, and REST API ...

For injection attacks (SQLi, SSTI, SSRF, XXE, command injection, PHP type juggling, PHP file inclusion), see server-side.md. For deserialization attacks (Java, Pickle) and race conditions, see ...

See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.