mlsanityData to 14 Oct 2026

Transforming Cyber Defense: Harnessing Agentic and Frontier AI for Proactive, Ethical Threat Intelligence

arXiv 2503.00164 ↗First posted 28 Feb 2025cs.CRcited by 4

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

In an era marked by unprecedented digital complexity, the cybersecurity landscape is evolving at a breakneck pace, challenging traditional defense paradigms. Advanced Persistent Threats (APTs) reveal inherent vulnerabilities in conventional security measures and underscore the urgent need for continuous, adaptive, and proactive strategies that seamlessly integrate human insight with cutting edge AI technologies. This manuscript explores how the convergence of agentic AI and Frontier AI is transforming cybersecurity by reimagining frameworks such as the cyber kill chain, enhancing threat intelligence processes, and embedding robust ethical governance within automated response systems. Drawing on real-world data and forward looking perspectives, we examine the roles of real time monitoring, automated incident response, and perpetual learning in forging a resilient, dynamic defense ecosystem. Our vision is to harmonize technological innovation with unwavering ethical oversight, ensuring that future AI driven security solutions uphold core human values of fairness, transparency, and accountability while effectively countering emerging cyber threats.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 0 of its 19 references that are in the map. First posted on arXiv 28 Feb 2025.

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Citing papers per year: 2025: 3; 2026: 1.

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