Policy
What applies to the whole organisation: detection profiles, custom terms, notices at AI tools and masking.
Detection profiles
Which data BeeSensible recognises in apps and documents, and how strictly: levels per data type, the default profile and where a profile applies.
Custom terms
Project names, clients, systems and codes that only mean something inside your organisation: how to maintain the list, how matching works and where the list is kept.
Notices for AI tools
What people see when they open an AI tool you have made a decision about, what you can set and what is counted.
Masking: paste, attach, send and keep context
How to set, under Policy > Masking, what the extension does when people paste, attach or send, who gets Keep context and which document formats your team can use.
The detection engine
What Bombus is, how the engine recognises sensitive data, where detection runs and what our own test says about its accuracy.
