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Flag all the accounts that seem suspicious. The more signal, the easier for Threat Intelligence to identify them.



I did, but I feel like this could be solved with machine learning.


Seems like flagging the accounts should, in theory, feed back as data points into their machine learning models?


That is how supervised machine learning works. Give it know examples, and it extrapolates to identify other instances in new data.


Flagging bot accounts does not strike me as something a computer would be able to do. If they notice that the machine learned to recognize keywords, they'll use different ones; if they notice it recognizes IP addresses, they'll use different ones; etc. It seems very similar to spam classification to me.




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