Flowise is easy to understand. You connect nodes. You get a working flow. That is a real advantage when you are trying to make an idea tangible.
But the thing I would worry about is not the canvas. It is the boundary around it.
Flowise's own documentation says a new chatflow is publicly available by default to anyone with its ID. It explains how to assign an API key to protect it. That is an important detail. A flow that can call models and tools should not be treated like a harmless diagram.
A good demo is not an access policy
A private dashboard and a protected flow are different questions. Who can open the builder? Who can call the endpoint? What can the connected tools reach? Those are separate boundaries. The documentation gives you ways to configure them. You still need to make the decisions.
An API key is a start, not a complete security model. It has to be stored, rotated and kept out of browser code. You also need to think about rate limits, logging and the permissions of each connected service. A visual interface does not remove any of that work.
Where it fits
For a prototype or an internal experiment, Flowise looks useful. It makes the shape of an AI workflow visible. For anything that touches customer data or can take an action, I would map the trust boundaries before adding another node.
The canvas is not the problem. Mistaking the canvas for the whole system is.
This is a documentation-based assessment, not a hands-on benchmark. Product behaviour can change. Source: Flowise flow access documentation ↗.