AI Agents Enable Adaptive Computer Worms
A new study reveals that artificial intelligence agents can enable adaptive computer worms that generate tailored attack strategies. Unlike traditional worms, these AI-driven threats can adapt in real time and exploit vulnerabilities across various platforms. The research highlights the need for enhanced cybersecurity measures to combat these evolving threats.
- ▪AI agents can create computer worms that adapt their attack strategies to each target.
- ▪These worms can exploit real-world vulnerabilities across Linux, Windows, and IoT devices.
- ▪The economic asymmetry created by these worms makes it easier for attackers to spread malware without incurring additional costs.
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Record
| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2606.03811 |
| Publication time | Wed, 03 Jun 2026 05:52:33 +0000 |
| Retrieval time | 2026-06-03T06:01:56.770Z |
| Last seen | 2026-06-03T06:01:56.770Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | _Ofr-7N8x65O |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Cryptography and Security arXiv:2606.03811 (cs) [Submitted on 2 Jun 2026] Title:AI Agents Enable Adaptive Computer Worms Authors:Jonas Guan, Tom Blanchard, Hanna Foerster, Hengrui Jia, Gabriel Huang, Nicolas Papernot View a PDF of the paper titled AI Agents Enable Adaptive Computer Worms, by Jonas Guan and 5 other authors View PDF HTML (experimental) 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 vulnerabilities. Here we show that artificial intelligence (AI) agents enable a fundamentally new threat: a worm that generates tailored attack strategies to each target it encounters.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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