A Primer On Artificial Intelligence And Cybersecurity

Artificial intelligence systems aim to transcend human speed and constraints by mimicking human characteristics and computing abilities in a computer. By prioritizing and acting on data,, particularly in bigger networks with numerous users and factors. Finding, classifying, and combining data are incredibly useful skills for reducing cybersecurity risks.

. Intelligent algorithms can be used to keep an eye on network anomalies, spot emerging dangers without established signatures, and detect them. Additionally, it can be used to correlate data from silos to evaluate network risks and vulnerabilities as well as comprehend the nature of attacks. By cross-checking the accuracy of data across numerous dispersed databases, artificial intelligence and machine learning may be able to assist identity management.

By combining orchestration procedures, automation, incident management and collaboration, visualization, and reporting under a single interface,. Additionally, SOAR can give security operations center employees a quicker, more precise approach to manage the massive amounts of data generated by cybersecurity systems and assist in locating and resolving potential or active attacks.

See Chuck Brooks and Dr. Frederic Lemieux's article,"Three Key Artificial Intelligence Applications for Cybersecurity," for a deeper look at some of the capabilities AI can bring to cybersecurityWhile artificial intelligence and machine learning might be useful tools for cyber defense, they can also be double-edged swords that criminal hackers can utilize for bad intentions:

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