FEATURE : ARTIFICIAL INTELLIGENCE
( AI ) solutions are the next step in cybersecurity , with 48 % of respondents believing automation and Machine Learning will have the greatest influence on transforming the cybersecurity landscape in the next two years .
“ As the rise in cyberattacks continue , more people are looking towards automation to help deal with threats . Solutions that only mitigate the impacts of a cyberattack are no longer enough to fully protect organizations , therefore businesses will naturally look towards solutions that can prevent cyberattacks altogether . Deep Learning , a more advanced subset of AI , enables the prevention of cyberattacks and it is already being used to transform the cybersecurity landscape .
“ Deep Learning mimics the workings of the human brain in order to learn whether activity is malicious or benign . Unlike Machine Learning which requires security teams to manually input data , Deep Learning is fully autonomous .
“ This means it is able to prevent and predict cyberattacks . Some of the fastest ransomware only needs 15 seconds to encrypt a network , but security teams don ’ t have time to wait for attacks to be executed to then check if they are malicious .
“ Deep Learning helps deliver a sub-20 millisecond response time stopping a cyberattack , pre-execution , before it can take hold . This means security teams are proactively stopping cyberattacks rather than waiting for them to happen .
“ The independent nature of Deep Learning means that it is able to spot threats with a greater accuracy than Machine Learning , including zero-day threats . Due to the existence of Deep Learning within cybersecurity and its ability to actually predict cyberattacks , there is no doubt that automation will indeed have the greatest influence on transforming the cybersecurity landscape .” p
Chuck Everette , Director of Cybersecurity Advocacy at Deep Instinct
AI IS LIKE THE INTERNET : IT FEELS OPTIONAL UNTIL IT ’ S
TOO LATE .
www . intelligentcio . com INTELLIGENTCIO NORTH AMERICA 43