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    Impact of AI on Networking and Cybersecurity

    The most virtuous application of AI is Machine Learning which is giving an edge to ATP in understanding and detecting the critical evolving threats.  

    Impact of AI on Networking and Cybersecurity

    By

    Apac CIOOutlook | Tuesday, May 14, 2019

    Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

     

    Artificial Intelligence technology is now a driver in rapidly changing business processes and functions with an ability to run solutions that safeguard wireless networks, which are essential for these businesses, from cybersecurity threats. In a normal context, AI  replicates the behavior of a human and uses big data, robotics, speech and object recognition.

    With all these segments, however, AI can exceed human capabilities which makes it more exciting and terrifying simultaneously with incremental possibilities in cybercrimes and at the same time with more advanced threat protection.

    Cybercrime and AI warfare

    Most of the cybercriminals always in the frontline to exploit the use of latest technologies and AI is not an exception for them. As cybercriminals have become more sophisticated and well-organized, all types of industries facing significant cybercrime threats and these may degrade the future of an enterprise.

    Cybercrime has no longer remained a domain with individual hackers, and it may turn into a huge business with complex operating models. In context with AI, it allows cybercriminals to use automated tools in stealing the information from the company's network.

    AI warfare has become another rising threat with competitive intelligence gathering enacted by computer intelligence. The implications for AI warfare among businesses are substantial and may ramp up their cybersecurity solutions to overcome it.

    Advance Threat Protection (ATP)

    ATP provides real-time monitoring and protection of the entire network that is essential when threats are increasing and it is incredibly challenging to get rid of them. Sometimes ATP may be unable to detect the occurrence of novel threats.

    The most virtuous application of AI is Machine Learning which is giving an edge to ATP in understanding and detecting the critical evolving threats.

    Many traditional security measures are no longer good enough to thwart cybercrimes. The future will see self-healing and self-defending networks that leverage AI in developing automated security control solutions to reduce cyber threats. 

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