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AI Fortifications: Protecting Against Cyber Threats in the Modern Era

EasyChair Preprint no. 13298

10 pagesDate: May 16, 2024

Abstract

In the modern digital landscape, the proliferation of cyber threats poses significant challenges to organizations worldwide. To address these challenges, the integration of Artificial Intelligence (AI) has emerged as a critical component of cyber defense strategies. This abstract explores the role of AI fortifications in protecting against cyber threats, highlighting their proactive threat detection, rapid response mechanisms, and adaptive security strategies. Through advanced machine learning algorithms and data analytics, AI fortifications empower organizations to anticipate, identify, and mitigate threats in real-time, thereby minimizing the risk of data breaches and other security incidents. By harnessing the transformative power of AI, organizations can fortify their defenses, mitigate risks, and preserve the integrity and security of digital ecosystems in an increasingly interconnected and complex digital landscape. AI-driven fortifications offer proactive threat detection, rapid response mechanisms, and adaptive security strategies. Through advanced machine learning algorithms and data analytics, these fortifications empower organizations to anticipate, identify, and neutralize threats in real-time, thereby minimizing the risk of data breaches and other security incidents. The adaptability and scalability of AI fortifications enable organizations to combat the dynamic nature of cyber threats effectively. Continuous learning and evolution refine detection algorithms and response strategies, ensuring organizations remain resilient in the face of emerging threats.

Keyphrases: ERA, modern, the

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13298,
  author = {Danny Oroy and Julia Anderson},
  title = {AI Fortifications: Protecting Against Cyber Threats in the Modern Era},
  howpublished = {EasyChair Preprint no. 13298},

  year = {EasyChair, 2024}}
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