Merge duplicate columns on full outer join

I like explaining with pictures a lot more:

https://i.ibb.co/gy0PLcZ/pbi.png

Some sample data you can copy for testing:

Antivirus

Live Monitoring

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Hello, we're trying to audit our computers' software installations: We need to know if they are missing either their Antivirus software or their Monitoring software. We're doing this by comparing the 2 datasets with a "FULL OUTER Join". (If "Monitor Version" or "Antivirus Version" columns have a blank value after the join, we can assume the computer is missing that respective software package.)

We're fuzzy-joining the datasets by using the "Company" and "Computer" columns (found in both datasets) as the [foreign] keys.

We currently have to retain the "Company" and "Computer" columns from both datasets after the join--to know which Company & Computer a given row belongs to--in case a given computer is missing from one of the datasets.

Our goal is this: Merge the data from the duplicate "Company" and "Computer" columns from both datasets into new single master "Company" and "Computer" columns.

New "Company" & "Computer" column conditions:

• If "Company" and "Computer" data exists from BOTH tables for a given row, only show the company & computer data from the "Live Monitoring" table.
• (Obviously) If company & computer data are missing from one dataset but exist in the other, show the company & computer data from the table that has it.

I look forward to any help--Thank you