Stop Cyber Attacks with Vectra AI ' s Attack Signal Intelligence™
WATCH NOW he describes . “ There ' s one school of thought that says , ‘ You learn about an environment , and you do lots of counts and metrics , and then you flag what ' s unusual ’; the bet is that in the unusual you ' ll find the threat .
“ The challenges with that are that when you look at especially large enterprise environments , there ' s so much happening every day that lead to a lot of noise and alerts for the security teams to deal with .”
The other problem , Kennedy describes , is that attackers are good at blending in . “ They ' re good at making themself look pretty close to normal ,” he says . “ So you actually miss a lot of the relevant signals .”
“ So we said , ‘ That doesn ' t really work well ’. Rather than thinking about it as more of a pure data science problem , it ' s in reality a security problem .
“ We are constantly pushing the envelope of data science techniques . Four or five years ago , there were lots of breakthroughs around Google Translate , and the use of recurrent neural networks , and long shortterm memory ( LSTM ) models . And we said , ‘ Okay , that works really well for translation . It ' s actually the right technical approach for command and control tunnels ’, and so we then applied that . We took the latest learnings from that domain and applied them to security , and we were the first to do that . And so we ' re always keeping up on data science . “ We ' re always keeping up with breakthroughs in security research ,” Kennedy concludes . “ We have to continue doing that work , and then bringing them together to deliver the best outcomes for our customers .”
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