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A unified network threat prediction solution that combines artificial intelligence and deep learning.  

Modern networks grow more complex and interconnected every day. With new connections come an increased potential for vulnerabilities and backdoors.

 

Attackers and cybercriminals are always on the lookout for ways to infiltrate sensitive networks, and overly complex, linked systems allow them to creep inside unnoticed.

 

Organizations have been trying to address these threats for years, with little success. 

 
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Get the whitepaper

Learn how Cynamics combines two deep learning frameworks - a local expert algorithm and global expert algorithm, for the ability to continuously learn and evolve automatically and autonomously from each network. 

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