Will AI Make Cyber Swords or Shields: A few mathematical models of technological progress
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Abstract (arXiv)
We aim to demonstrate the value of mathematical models for policy debates about technological progress in cybersecurity by considering phishing, vulnerability discovery, and the dynamics between patching and exploitation. We then adjust the inputs to those mathematical models to match some possible advances in their underlying technology. We find that AI's impact on phishing may be overestimated but could lead to more attacks going undetected. Advances in vulnerability discovery have the potential to help attackers more than defenders. And automation that writes exploits is more useful to attackers than automation that writes patches, although advances that help deploy patches faster have the potential to be more impactful than either.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 2 of its 24 references that are in the map. First posted on arXiv 27 Jul 2022.
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Citing papers per year: 2023: 2; 2024: 3; 2025: 1.
6 papers.
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- 2023A Cost Analysis of Generative Language Models and Influence Operationscited by 17
- 2024Training Compute Thresholds: Features and Functions in AI Regulationcited by 13
- 2025Uplifted Attackers, Human Defenders: The Cyber Offense-Defense Balance for Trailing-Edge Organizationscited by 0
- 2025Uplifted Attackers, Human Defenders: The Cyber Offense-Defense Balance for Trailing-Edge Organizations14 Aug 2025
- 2024Teams of LLM Agents can Exploit Zero-Day Vulnerabilities2 Jun 2024
- 2024Training Compute Thresholds: Features and Functions in AI Regulation17 May 2024
- 2024LLM Agents can Autonomously Exploit One-day Vulnerabilities11 Apr 2024
- 2023A Cost Analysis of Generative Language Models and Influence Operations7 Aug 2023
- 2023Frontier AI Regulation: Managing Emerging Risks to Public Safety6 Jul 2023