article · AI and Ethics
Artificial intelligence brings both benefits and vulnerabilities to the field of cybersecurity. Rapid integration of intelligent systems creates complex dynamics around offensive and adversarial attacks, requiring adaptive defensive strategies, ethical safeguards, and proactive interventions. To address these evolving challenges, the AI Cybersecurity Dimensions framework provides a structured, multidimensional guide examining attack motivations, mitigation approaches, and broader societal impacts. Developed through extensive literature reviews and textual analysis, the schema assists industry practitioners, policymakers, and researchers in understanding threats driven by intelligent software. Tackling these risks demands an interdisciplinary approach that connects technological solutions with human and societal considerations. Ultimately, the framework serves as a practical tool for comprehensive risk assessment and collaborative interventions, helping stakeholders prepare for emerging threats stemming from the intersection of artificial intelligence and digital security systems.
As artificial intelligence becomes embedded in digital infrastructure, offensive technologies introduce sophisticated cyber threats that challenge traditional security practices. Understanding these dangers alongside their societal impacts helps organisations implement ethical, proactive defences. By bringing technical security together with broader human concerns, structured frameworks assist decision-makers in protecting critical systems from evolving automated attacks.
The framework functions as an early-stage conceptual tool rather than a deployable software product. Industry security teams, policymakers, and risk managers could potentially adapt the multidimensional schema to inform defensive cyber strategies, threat assessments, and ethical governance policies. However, because the underlying work relies on textual analysis and literature synthesis, substantial operational development and empirical testing would be required before it can directly support commercial cybersecurity applications.
AI-generated from the published abstract. Always read the original work before citing.
Abstract As Artificial Intelligence (AI) rapidly advances and integrates into various domains, cybersecurity emerges as a critical field grappling with both the benefits and pitfalls of AI technologies. This paper explores the multifaceted dimensions of AI-driven cyberattacks, offering insights into their implications, mitigation strategies, underlying motivations, and profound societal impacts. The research centres on developing and presenting the AI Cybersecurity Dimensions (AICD) Framework, a comprehensive, multidimensional schema designed to guide academics, policymakers, and industry professionals in understanding and combating the evolving challenges posed by AI-driven cyber threats. The research unveils the complex dynamics of offensive AI, stressing the need for adaptive defences and ethical considerations. Concurrently, the study highlights adversarial AI threats, calling for proactive measures to address their potential ramifications. Through rigorous textual analyses and extensive literature reviews, the paper underscores the urgency for interdisciplinary approaches to bridge the technology-humanity chasm traditionally observed in cybersecurity discussions. By synthesising these diverse elements, the AICD Framework emerges as an instrumental tool for holistic understanding and practical interventions in the AI-infused cybersecurity landscape. The paper concludes with an urgent call for collaborative efforts in research and practice to navigate the intricate challenges and capitalise on the opportunities borne from the convergence of AI and cybersecurity.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1007/s43681-024-00427-4
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
