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AI agents enable adaptive computer worms with zero marginal cost

Researchers have developed a novel computer worm that leverages AI agents to adapt its attack strategies in real-time. This worm parasitically utilizes compromised machines to run open-weight large language models, enabling it to reason about targets and synthesize new attack logic. Deployed on a network of diverse devices, it exploited common vulnerabilities and achieved zero marginal cost per infection by using stolen compute, creating an economic imbalance for defenders. The AI-driven nature of this threat bypasses traditional centralized safety controls, highlighting the emergence of autonomous generative adversaries. AI

IMPACT Highlights the potential for AI to create sophisticated, self-adapting cyber threats that bypass traditional security measures.

RANK_REASON Academic paper detailing a new AI-driven cyber threat. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jonas Guan, Tom Blanchard, Hanna Foerster, Hengrui Jia, Gabriel Huang, Nicolas Papernot ·

    AI Agents Enable Adaptive Computer Worms

    arXiv:2606.03811v1 Announce Type: cross Abstract: A computer worm is malware that spreads on a network by replicating itself from one machine to another. Traditional worms, like WannaCry, exploited predetermined vulnerabilities, and their spread can be halted by patching those vu…

  2. arXiv cs.AI TIER_1 English(EN) · Nicolas Papernot ·

    AI Agents Enable Adaptive Computer Worms

    A computer worm is malware that spreads on a network by replicating itself from one machine to another. Traditional worms, like WannaCry, exploited predetermined vulnerabilities, and their spread can be halted by patching those vulnerabilities. Here we show that artificial intell…