How is Deep Learning used in Cybersecurity?
Training happens every few months, based on market analysis, new threat trends and new malware.
The data samples are taken from four different sources; public repositories, darknet, homegrown malware and malware mutations.
The proprietary, deep neural network algorithm is designed specifically for cybersecurity using millions of files and executables to expose the model.
A lightweight, zero-time, pre-execution agent is finally available to be distributed across an organization’s endpoints, mobile devices and servers.
THE FIRST
COMPANY TO APPLY
DEEP LEARNING TO
CYBERSECURITY
Deep Instinct’s highly experienced and interdisciplinary team of leading deep-learning scientists, ex-IDF and special Israeli cyber units are revolutionizing cybersecurity technology by applying deep learning.
The cybersecurity team includes veterans of the Israel Defense Forces’ cyber units, National Intelligence units, and executives from top global cybersecurity companies.
Our advanced deep learning algorithms and prediction models are developed by an interdisciplinary team of experienced mathematicians, data scientists, and deep learning experts who hold PhDs and/or MScs and have domain expertise in operational cybersecurity.
Learn more about deep learning applications
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