When using Maltego, it's a delicate balance of getting to the information you need and not cluttering the graph. A cluttered graph leads to confusion and can easily lead users to pivot on entities which simply aren't interesting. The data in AutoFocus is rich, but contains a lot of data which relates to the general operation of Windows, and other unwanted data. To help address this problem our transforms use a filtering system to attempt to alleviate these issues.
How it works
Before entities are returned by our transforms they are checked against various lists of known entities which users are unlikely to want. These include domain names such as 'time.windows.com', parking IP address ranges, Dynamic DNS root domains, and much more.
Whenever entities are filtered, users can see that this has happened by looking at the "Transform Output" window:
You can see the filtering in action in the video below: