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Machine Learning for Real-Time Threat Detection and Prevention

Author

Listed:
  • Shraddha Yogesh Garg
  • Nairutvi Gajendrabhai Mistry
  • Chaudhari Kiranbhai Jivanbhai
  • Darshanaben Dipakkumar Pandya

Abstract

The art (and science) of allowing machines to learn things that are not explicitly programmed is known as machine learning. It incorporates both computer science and mathematics. The sheer volume of mathematical formulas and ideas in machine learning typically turns people off. AI and machine learning have had a fantastic year. Particularly in the fields of healthcare, finance, augmented reality, speech recognition, and more intricate 3D and video applications, numerous new high-impact machine learning applications have been found and made public. Python and SQL are utilized in machine learning programming languages. In this essay, we have covered the definition of machine learning, its various forms, how it operates, the essential components of machine learning, current machine learning techniques, their applications, benefits, drawbacks, and the top seven programming languages. We have also covered the businesses that employ machine learning.

Suggested Citation

  • Shraddha Yogesh Garg & Nairutvi Gajendrabhai Mistry & Chaudhari Kiranbhai Jivanbhai & Darshanaben Dipakkumar Pandya, 2026. "Machine Learning for Real-Time Threat Detection and Prevention," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12(3), pages 347-352, June.
    • Handle: RePEc:jbh:ijsrcs:v12:y2026:i3:id:2026
    DOI: 10.32628/CSEIT26123327
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26123327
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