Generative AI: a double-edged sword in the cyber threat landscape

Abstract Generative AI’s swift progress advances onto profound cybersecurity dilemmas. Its usage by malevolent entities to automate intricate malware creation poses a significant threat, circumventing conventional defensive measures. This paradigm shift enables the generation of polymorphic malware, eluding signature-based detection and facilitating precision-targeted assaults. The democratization of Generative AI exacerbates these threats by extending advanced capabilities to a broader spectrum of malicious actors. A comprehensive examination of AI-generated malware’s prevalence, and its repercussions is imperative to fortify cyber resilience. Such scrutiny informs proactive defense strategies vital for safeguarding digital assets within increasingly interconnected systems. Robust threat intelligence frameworks and AI-centric defensive mechanisms emerge as imperative shields against evolving cyber perils. Addressing this emergent challenge stands as an indispensable endeavor in contemporary cybersecurity discourse.

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