How AI and ML are Used in Cybersecurity?

Artificial Intelligence (AI) and Machine Learning (ML) are booming technologies used in the cybersecurity industry to automate the process of detecting cyber threats. Nowadays, with the enhancement of Information Technology (IT), the techniques and tricks to attack the organization’s network and systems are becoming more complex. Cybersecurity teams find it challenging to analyze and take appropriate action against the identified security threat.

Fortunately, AI and ML technologies are making it possible to automate the process of identifying, analyzing, and responding to millions of cybersecurity threats. Many companies are leveraging the support of AI and ML to combat security threats and enhance organizations’ security posture.

AI and ML

Artificial Intelligence is the main branch of Machine Learning and Deep Learning designed to analyze millions of security risks, speed up the incident response process and help enhance security operations. It refers to the algorithms and techniques that mimic human intelligence to perform business operations that require human intelligence.

Machine Learning (ML) is a part of Artificial Intelligence designed to execute algorithms in AI and allow learning from past use cases to enhance the security posture. It will enable the system to learn from the training data and detailed applications.

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