Rising From the Ashes: How Agentic AI is Unblocking Challenges in Cybersecurity

arXiv 2606.23138 ↗First posted 22 Jun 2026cs.CRcited by 0

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

Abstract (arXiv)

Security remains a high-cost challenge, with many problems historically deemed inefficient to address or effectively unsolvable. A significant number of these problems stem from labor-intensive tasks that create bottlenecks in defensive approaches. Agentic AI has the potential to alleviate these bottlenecks by directly ingesting and reasoning over natural language or code, thereby expanding the scope of feasible defenses. In this paper, we map open security problems to emergent agentic AI capabilities. To illustrate this potential, we examine 16 case studies, including supply chain analysis, highlighting how agentic AI may benefit defenders.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 9 of its 44 references that are in the map. First posted on arXiv 22 Jun 2026.

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References · 9

2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 2,006
2024A Survey on Large Language Models for Code Generationcited by 658
2020On Adaptive Attacks to Adversarial Example Defensescited by 555
2017Wild Patterns: Ten Years After the Rise of Adversarial Machine Learningcited by 414
2022Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspectivecited by 42
2025How Benchmark Prediction from Fewer Data Misses the Markcited by 28
2018Debloating Software through Piece-Wise Compilation and Loadingcited by 6
2026Agent Security is a Systems Problemcited by 5
2023SecV: Secure Code Partitioning via Multi-Language Secure Valuescited by 1

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