Abstract
Supply chain attacks are evolving in cybersecurity as a potent subject and assault that uses sophisticated artificial intelligence strategies to penetrate and subvert guaranteed suppliers and software developers. These are complex attacks that take advantage of the existing trust in the supply chain to deliver malware through what may look as normal software updates, firmware, or services, which means that the integration of artificial intelligence boosts the accuracy and sneakiness of these attacks and improves target acquisition, malware adaptability, and manipulation of machine learning models within software products. The research objectives of this research are threefold: To identify how AI exacerbates supply chain risks, this involves understanding the characteristics of recent well-known security breaches; To present mitigation measures that can protect organizational networks. Through the use of case study research along with analysis tools like case studies and data analysis, the research demonstrates the imperative nature of increasing security and ensuring real-time security for protection from AI threats. Advanced and high-impact insights suggest continued AI development in supply chain attacks, which not only elevation but also expedites the attack processes whereby conventional defenses offer little help. The findings indicate that a Zero Trust posture, behavioral analytics, and a secure Software Bill of Materials (SBOM) are actionable and help fortify supply chains. In terms of implications to future research, it adds to previous work the consideration of the new challenges introduced through the use of AI in supply chain attacks, a crucial area of study for the construction of secure cyberspace protection architectures vital for the preservation of the integrity of key organizations and sensitive information in the growingly connected world.
Keywords
Artificial Intelligence. Data Breaches, Zero Trust, Polymorphic Malware, Supply Chain Attacks
Citations
IRE Journals:
Oladoyin Akinsuli
"AI-Powered Supply Chain Attacks: A Growing Cybersecurity Threat" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 696-708
IEEE:
Oladoyin Akinsuli
"AI-Powered Supply Chain Attacks: A Growing Cybersecurity Threat" Iconic Research And Engineering Journals, 8(3)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12