networks that are designed to mimic the human brain . The neural networks are trained on massive sets of raw data samples consisting of millions of files , with the deep-learning “ brain ” independently teaching itself to detect which files are malicious and which ones are benign .
This results in the extremely intelligent system being able to stop the fastest known ransomware attacks in less than 20 milliseconds – even including unknown and zero-day threats . By preventing ransomware attacks , security teams can finally end the stressful situation of detection , response , and mitigation .
Q . WHAT ' S NEXT FOR DEEP INSTINCT ?
» Deep-learning technology has recently come into the mainstream with some of the biggest tech giants – such as Google , Netflix , Amazon , and Tesla – now using it to support their services . As we continue to develop deep learning , cybersecurity will be seen as the natural evolution of the technology .
We at Deep Instinct will continue to push the message of using deep learning to help support a prevention-first mindset . We will continue to adapt the solution to fight against future cyber threats across endpoints and also data in transit with our new Prevention for Applications solution .
79 % OF RESPONDENTS SAID THEY WOULD RATHER DEPEND ON AI THAN HUMANS TO HUNT CYBERSECURITY THREATS
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