Tealeaf is great at identifying suspicious sessions. The best approach is to create a fraud score. This used to be the same thing as you did for struggle but with different events. Could we use the same cognitive engine for struggle score with different events to highlight suspicious behaviours? It would help the claims department of insurance customers as an example.
What is your industry? | Insurance |
What is the idea priority? | Low |
We would like to obtain more information about this idea.