The Impact of AI on the Cyber Offense-Defense Balance and the Character of Cyber Conflict

📅 2025-04-17
📈 Citations: 1
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🤖 AI Summary
This study examines the multidimensional impact of AI’s continuous evolution on the cyber offense-defense balance and the nature of cyber conflict. Methodologically, it develops the first comprehensive classification framework—grounded in systematic literature review and argument-mapping analysis—that identifies and organizes 44 distinct AI influence pathways. Integrating international security theory (Healey, Jervis, Nandrajog) with AI technical impact models, the study systematically assesses AI’s effects on nine offensive advantages, nine defensive advantages, and forty-eight cyber-competition attributes. Results refute the oversimplified narrative of AI unidirectionally favoring offense or defense, instead revealing context-dependent, bidirectional, and heterogeneous effects: AI can enhance, diminish, or leave unchanged specific offensive or defensive capabilities under empirically specified conditions. The findings provide a fine-grained theoretical foundation and actionable guidance for cyber strategy formulation, AI safety governance, and evidence-based policy design.

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📝 Abstract
Unlike other domains of conflict, and unlike other fields with high anticipated risk from AI, the cyber domain is intrinsically digital with a tight feedback loop between AI training and cyber application. Cyber may have some of the largest and earliest impacts from AI, so it is important to understand how the cyber domain may change as AI continues to advance. Our approach reviewed the literature, collecting nine arguments that have been proposed for offensive advantage in cyber conflict and nine proposed arguments for defensive advantage. We include an additional forty-eight arguments that have been proposed to give cyber conflict and competition its character as collected separately by Healey, Jervis, and Nandrajog. We then consider how each of those arguments and propositions might change with varying degrees of AI advancement. We find that the cyber domain is too multifaceted for a single answer to whether AI will enhance offense or defense broadly. AI will improve some aspects, hinder others, and leave some aspects unchanged. We collect and present forty-four ways that we expect AI to impact the cyber offense-defense balance and the character of cyber conflict and competition.
Problem

Research questions and friction points this paper is trying to address.

How AI affects cyber offense-defense balance
Impact of AI on cyber conflict dynamics
AI's role in changing cyber competition characteristics
Innovation

Methods, ideas, or system contributions that make the work stand out.

Literature review of offense-defense arguments in cyber conflict
Analysis of AI impact on cyber offense-defense balance
Identification of 44 AI effects on cyber conflict
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A. Lohn
Center for Security and Emerging Technology, Georgetown University