mlsanityData to 14 Oct 2026

From Firewalls to Frontiers: AI Red-Teaming is a Domain-Specific Evolution of Cyber Red-Teaming

arXiv 2509.11398 ↗First posted 14 Sep 2025cs.LG cs.AI cs.CRcited by 2

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Abstract (arXiv)

A red team simulates adversary attacks to help defenders find effective strategies to defend their systems in a real-world operational setting. As more enterprise systems adopt AI, red-teaming will need to evolve to address the unique vulnerabilities and risks posed by AI systems. We take the position that AI systems can be more effectively red-teamed if AI red-teaming is recognized as a domain-specific evolution of cyber red-teaming. Specifically, we argue that existing Cyber Red Teams who adopt this framing will be able to better evaluate systems with AI components by recognizing that AI poses new risks, has new failure modes to exploit, and often contains unpatchable bugs that re-prioritize disclosure and mitigation strategies. Similarly, adopting a cybersecurity framing will allow existing AI Red Teams to leverage a well-tested structure to emulate realistic adversaries, promote mutual accountability with formal rules of engagement, and provide a pattern to mature the tooling necessary for repeatable, scalable engagements. In these ways, the merging of AI and Cyber Red Teams will create a robust security ecosystem and best position the community to adapt to the rapidly changing threat landscape.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 37 of its 104 references that are in the map. First posted on arXiv 14 Sep 2025.

Builds on

37 of 104 references.

References · 37

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25 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Red Teaming AI Red Teaming
  2. 2026A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications
  3. 2026A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems
  4. 2026Governing Execution Risk in Agentic AI Systems: A Trajectory-Guided Framework for Red Teaming
  5. 2025Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
  6. 2026AgenticRed: Evolving Agentic Systems for Red-Teaming
  7. 2023A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
  8. 2026Red-Teaming the Agentic Red-Team