Greetings @ClaudianoHello everyone, I would like to know which antivirus that uses machine learning,
and also the advantages and disadvantages (if any) of this technology, thanks in advance
How do you think they keep up with their detection of hundreds of thousands of malware everyday through signature? All through manual categorization, meaning by people? ML does most of the job, while experts address special cases. That's one of the advantages of ML.
Cara conselho de amigo, vc vai jogar dinheiro no lixo! McAfee e um dos 5 piores! Baita encrenca...Many thanks to all for the attention, to finish, I wanted everyone's opinion about McAfee AntiVirus Plus 2017, I read good things about it (mainly this new version) I was drawn and I got a 1 year license, I am in doubt if I use Or not, I've never had experience with McAfee and I've never seen anyone testing this in Malware Hub, so I wanted to hear from you, things like it has behavioral blocker? Is it good against malware attacks of 0 days? Thank you '
Sorry my english, i'm brazilian and i use google translate
so far the best implementation I see is Symantec, really powerful pre-execution, it changed the static detection of Symantec and brought them to the top 3Traditional AVs are using ML in addition to the signatures, so AV, in the first instance, checks the signatures, then the behavior and/or sandboxing and at the end, it uses ML engine. But generally it seems post - execution and not pre - execution approach.
Really, a good ML engine needs of millions of datapoints to be fully mature and effective.
I think traditional AV vendors are working in this direction, but they need an impressive number of samples to implement good ML algorithms.
I think ML technology has to be used in conjunction with other technologies because there is an actual problem.I think all AV That have a capability of
heuristic detection or behavioral detection
Apply some sort of machine learning