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Harnessing Ai, Machine Learning, and Autonomous Agents to Combat Cross-Industry Threats|Elyson Ariza de la Cruz

Harnessing Ai, Machine Learning, and Autonomous Agents to Combat Cross-Industry Threats

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Overview

As digital ecosystems grow more interconnected and complex, organizations across every industry face an expanding spectrum of operational and strategic threats. Advances in artificial intelligence (AI) and autonomous agents are rapidly transforming how these risks are detected, analyzed, and mitigated, offering unprecedented speed and adaptability in defense. These technologies are reshaping modern threat management, highlighting practical applications, and the critical considerations needed to ensure resilient, intelligent, and ethical protection in an increasingly vulnerable world. Harnessing AI, Machine Learning, and Autonomous Agents to Combat Cross-Industry Threats explores how cyber threats have become increasingly sophisticated and how traditional security measures are proving insufficient. It examines the intersection of cybersecurity and intelligent systems in different industries. Covering topics such as AI, cybersecurity, and machine learning, this book is an excellent resource for academicians, cybersecurity professionals, data scientists, policymakers, industry professionals, and graduate students.

Details

  • ISBN-13: 9798337355917
  • ISBN-10: 9798337355917
  • Publisher: Igi Global Scientific Publishing
  • Publish Date: November 2026
  • Page Count: 600

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