Flowise and LangFlow are the two dominant no-code / low-code visual agent builders. Both let non-engineers assemble LLM pipelines by connecting nodes in a canvas — democratising agent development in a way that dramatically accelerates prototyping and creates serious production safety challenges.
For PSF purposes, both platforms have the same profile. The scores above apply to both.
Self-hosted Flowise and LangFlow instances have historically been deployed without API authentication enabled. Both platforms have had CVEs related to unauthorised access to flow execution endpoints. A publicly accessible instance without authentication exposes your entire LLM pipeline — including any credentials stored in the flow — to the internet.
Before any production deployment: Enable API key authentication, place the instance behind a reverse proxy with TLS, restrict network access to authorised clients only, and audit all credentials stored in flows (prefer environment variable references over inline secrets).
The AIDA examination tests applied PSF knowledge across all eight domains — exactly the gaps and strengths covered in this assessment. 15 minutes. No charge. Ever.