Deep Learning: Using an Artificial Brain to Protect against Cyberattacks

In cybersecurity, the big challenge is to be able to protect against the millions of new malware variants that are launched daily.Although nearly all of the zero-day threats are based on extremely small mutations of known malware (by some estimates, the vast majority of new malware are mutated by less than 2% in comparison with known malware), many security solutions are incapable of detecting them because they rely on manually-tuned heuristics for creating handcrafted signatures. This process is time-consuming and reactive, leaving organizations vulnerable until the new signature is released.Newer solutions such as those based on analysis of the behavioral characteristics of the malware at runtime, or sandboxing solutions that execute the malware in a virtual (sandbox) environment to determine whether it is malicious or not, like legacy solutions present…


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