The user agent is pretty low hanging fruit, but these days even your most standard captchas / bot detection algorithms are looking at things like mouse movement patterns - a simple bot controlling a mouse might be coded to move the cursor from wherever it is to the destination in the shortest path possible; a human might try for the shortest path, but actually do something that only approximates the most direct path based on their dexterity, where the cursor began, the mouse they’re using, etc.
Tools in this space rely a lot on human use of a computer being much slower, less precise, and more variable than machine use of a computer.
we're looking at signals from the network, device, and browser as well as patterns across requests to identify these agents. in some cases, like operator today, it's quite trivial to identify based on the user agent but that's quite easy to mask if they wanted to.
behavioral data like mouse movements, shortest path, etc is helpful but likely to result in less of a deterministic signal compared to device intelligence based on those signals of where and how the request is being made.
we'll have a more in depth blog post on what we're seeing with this next week too.
Tools in this space rely a lot on human use of a computer being much slower, less precise, and more variable than machine use of a computer.