No matter the size of the organization, cybersecurity plays a vital role in securing all confidential data from cyber attacks. Along with cybersecurity, booming technologies like Machine Learning, Artificial Intelligence, and Data Science are being used in cybersecurity to provide efficiency in terms of security. This comprehensive blog is all about how Machine Learning helps cybersecurity.

1. Machine Learning in Cybersecurity
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No matter the size of the organization, cybersecurity plays a vital role in securing all
confidential data from cyber attacks. Along with cybersecurity, booming
technologies like Machine Learning, Artificial Intelligence, and Data Science are
being used in cybersecurity to provide efficiency in terms of security. This
comprehensive blog is all about how Machine Learning helps cybersecurity.

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What is Machine Learning?
Machine learning is a subset of Artificial Intelligence that uses statistical methods
allowing machines to improve with experience. Machine Learning algorithms are
designed to learn and improve from experience in identifying and adopting the data
patterns to make data-driven predictions. These predictions play a significant role in
making data-driven decisions and mitigating human errors.
How is Machine Learning used in Cybersecurity?
Cybersecurity can be effective, proactive, and less expensive using Machine Learning.
It allows machines to analyze the pattern of attacks, learn from them to prevent
similar attacks, and respond actively in real-time. Machine learning helps recognize
patterns and predict cyber threats in massive data sets. It can reduce the time spent
identifying the attacks by automating the analysis and allowing organizations to use
resources strategically.
Application of Machine Learning in Cybersecurity
The following are some of the applications of machine learning in real-time:
•Detecting the Cyber Threats
Machine learning helps detect cyber threats by continuously monitoring the network
behavior for malicious activities. It processes a massive amount of data to identify the
security incidents in the network or system.

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•Defending Threats
•Machine Learning is used to identify and defend against security incidents using
Machine learning models such as Support Vector Machine (SVM), Naive Bayes,
Deep Neural Networks, Decision tree, etc.
•Enhances Human Analysis
•Machine learning helps humans detect malicious attacks, analyze the network,
assess vulnerability, and provide endpoint protection. It helps to drive effective
decisions to respond against cyber threats.
•Automate Tasks
•Automating tasks using machine learning models helps businesses to
accomplish the tasks such as detecting malware, analyzing vulnerabilities,
enhancing threat detection techniques, and simplifying the work.
•Monitoring Emails
•Machine learning models and algorithms are used to identify the patterns to
uncover malicious emails. It helps to mitigate phishing attacks and uses the
Natural learning process to scan the emails to identify malicious activity.
•Endpoint Malware Protection
Machine learning algorithms help to improve endpoint security by supporting
the malware protection workflows. It helps to detect and mitigate malware
attacks in the network environment.

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About InfosecTrain
InfosecTrain is a global provider of IT Training and consultancy in a
wide range of Cybersecurity and Information security domains. It
offers instructor-led training programs on various well-known
cybersecurity certification courses for beginners and experienced
professionals to enhance their careers in cybersecurity. To know more,
check out our courses and enroll now.

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professionals of over 15 years of combined
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