Can LLMs Hack Enterprise Networks? -- Replicated Computational Results (RCR) Report
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866915828159479808 |
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| author | Happe, Andreas Cito, Jürgen |
| author_facet | Happe, Andreas Cito, Jürgen |
| contents | This is the Replicated Computational Results (RCR) Report for the paper ``Can LLMs Hack Enterprise Networks?" The paper empirically investigates the efficacy and effectiveness of different LLMs for penetration-testing enterprise networks, i.e., Microsoft Active Directory Assumed-Breach Simulations. This RCR report describes the artifacts used in the paper, how to create an evaluation setup, and highlights the analysis scripts provided within our prototype. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_01789 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Can LLMs Hack Enterprise Networks? -- Replicated Computational Results (RCR) Report Happe, Andreas Cito, Jürgen Cryptography and Security This is the Replicated Computational Results (RCR) Report for the paper ``Can LLMs Hack Enterprise Networks?" The paper empirically investigates the efficacy and effectiveness of different LLMs for penetration-testing enterprise networks, i.e., Microsoft Active Directory Assumed-Breach Simulations. This RCR report describes the artifacts used in the paper, how to create an evaluation setup, and highlights the analysis scripts provided within our prototype. |
| title | Can LLMs Hack Enterprise Networks? -- Replicated Computational Results (RCR) Report |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2603.01789 |