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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 13 Issue 9 ijcatr13091002

IJCATR Volume 13 Issue 9

The Intersection of Artificial Intelligence and Cybersecurity: Safeguarding Data Privacy and Information Integrity in The Digital Age

Joseph Nnaemeka, Praise Ayomide Ayodele, Moshood Yussuf, Bashirat Bukola Atata
10.7753/IJCATR1309.1002
keywords : 1. AI-driven Cybersecurity, 2. Data Privacy, 3. Threat Detection, 4. Information Integrity, 5. Ethical Considerations, 6. Privacy Regulations.

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As artificial intelligence (AI) becomes increasingly integrated into various sectors, its impact on cybersecurity, data privacy, and information protection has grown significantly. This article explores the symbiotic relationship between AI and cybersecurity, focusing on how AI-driven solutions can both enhance and challenge data privacy and information integrity. It delves into the dual-edged nature of AI in cybersecurity, examining its potential to strengthen defenses against cyber threats while also raising concerns about privacy and security. Key areas of focus include AI's role in threat detection and response, the implications of AI for data privacy regulations, and the ethical considerations surrounding AI's use in information protection. The article also discusses strategies for balancing innovation in AI with the need for robust privacy and security measures, ensuring that the integrity of personal and organizational data is maintained in an increasingly interconnected world
@artical{j1392024ijcatr13091002,
Title = "The Intersection of Artificial Intelligence and Cybersecurity: Safeguarding Data Privacy and Information Integrity in The Digital Age",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "13",
Issue ="9",
Pages ="14 - 26",
Year = "2024",
Authors ="Joseph Nnaemeka, Praise Ayomide Ayodele, Moshood Yussuf, Bashirat Bukola Atata"}
  • AI-driven cybersecurity enhances threat detection and automated response mechanisms.
  • The integration of AI into cybersecurity raises significant data privacy and ethical concerns.
  • AI's impact on data privacy regulations is analyzed, highlighting challenges and opportunities.
  • Strategies for balancing AI innovation with robust data protection measures are proposed.
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