International Journal on Science and Technology

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Adversarial and Offensive AI in Cyber Security

Author(s) Siva Kumar Mamillapalli
Country United States
Abstract As Artificial Intelligence (AI) continues to advance swiftly and integrates into various domains, cybersecurity becomes increasingly crucial for navigating both the benefits and pitfalls of AI technologies. This paper explores how adversarial and offensive artificial intelligence (AI) techniques affect cybersecurity defense methods. The research offers important insights from analyzing recent cyber-attacks that use adversarial AI, showing a marked rise in the complexity of these threats when compared to traditional security frameworks. Key results indicate that older cybersecurity defenses are becoming less effective against attacks that are boosted by AI, making it essential to create flexible strategies that use offensive AI techniques to forecast and stop possible breaches. By understanding the possible risks posed by AI, organizations can strengthen their defenses against new cyber threats. Additionally, this study emphasizes the need for a major change in how organizations approach cybersecurity, suggesting a proactive approach that recognizes the dual-use nature of AI tools. The wider implications of this research indicate that applying advanced AI methods in cybersecurity not only improves system resilience but also fosters a culture of ongoing improvement and awareness, ultimately protecting organization essential infrastructure from changing cyber threats.
Keywords IDS, ML, AI, Cybersecurity, AICD
Field Engineering
Published In Volume 15, Issue 4, October-December 2024
Published On 2024-12-10
Cite This Adversarial and Offensive AI in Cyber Security - Siva Kumar Mamillapalli - IJSAT Volume 15, Issue 4, October-December 2024. DOI 10.5281/zenodo.14866278
DOI https://doi.org/10.5281/zenodo.14866278
Short DOI https://doi.org/g84xnc
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