Analysis · curated 16 Jul 2026
Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies
First reported · updated · 2 reports arxiv.org
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Why it matters
The survey consolidates the landscape of offensive and defensive LLM applications in security, giving defenders a reference on emerging AI-driven threats and mitigation frameworks.
A survey paper by Kiarash Ahi and Saeed Valizadeh reviews over 70 academic and industry sources on the dual-use of LLMs and generative AI in cybersecurity, covering AI-generated malware, zero-day detection, DevSecOps, explainable AI, and defensive strategies such as model watermarking and adversarial defense. It synthesizes case studies from platforms including Google Play Protect, Microsoft Defender, and Hugging Face Spaces and offers recommendations for responsible LLM deployment.