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Add the CAI Fluency paper 

Signed-off-by: Víctor Mayoral Vilches <v.mayoralv@gmail.com>
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Víctor Mayoral Vilches 2025-08-20 16:03:03 +02:00
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@ -20,6 +20,7 @@
[![Discord](https://img.shields.io/badge/Discord-7289DA?logo=discord&logoColor=white)](https://discord.gg/fnUFcTaQAC)
[![arXiv](https://img.shields.io/badge/arXiv-2504.06017-b31b1b.svg)](https://arxiv.org/pdf/2504.06017)
[![arXiv](https://img.shields.io/badge/arXiv-2506.23592-b31b1b.svg)](https://arxiv.org/abs/2506.23592)
[![arXiv](https://img.shields.io/badge/arXiv-2508.13588-b31b1b.svg)](https://arxiv.org/abs/2508.13588)
@ -35,6 +36,9 @@ Cybersecurity AI (CAI) is a lightweight, open-source framework that empowers sec
> [!NOTE]
> Read the technical report: [CAI: An Open, Bug Bounty-Ready Cybersecurity AI](https://arxiv.org/pdf/2504.06017)
>
> For further readings, refer to our [research publications](https://aliasrobotics.com/research-security.php#papers) and also to the [CAI citation](#citation) section.
| [`OT` - CAI and alias0 on: Ecoforest Heat Pumps](https://aliasrobotics.com/case-study-ecoforest.php) | [`Robotics` - CAI and alias0 on: Mobile Industrial Robots (MiR)](https://aliasrobotics.com/case-study-cai-mir.php) |
@ -1019,6 +1023,18 @@ If you want to cite our work, please use the following:
}
```
```bibtex
@misc{mayoralvilches2025caifluencyframeworkcybersecurity,
title={CAI Fluency: A Framework for Cybersecurity AI Fluency},
author={Víctor Mayoral-Vilches and Jasmin Wachter and Cristóbal R. J. Veas Chavez and Cathrin Schachner and Luis Javier Navarrete-Lozano and María Sanz-Gómez},
year={2025},
eprint={2508.13588},
archivePrefix={arXiv},
primaryClass={cs.CR},
url={https://arxiv.org/abs/2508.13588},
}
```
## Acknowledgements
CAI was initially developed by [Alias Robotics](https://aliasrobotics.com) and co-funded by the European EIC accelerator project RIS (GA 101161136) - HORIZON-EIC-2023-ACCELERATOR-01 call. The original agentic principles are inspired from OpenAI's [`swarm`](https://github.com/openai/swarm) library and translated into newer prototypes. This project also makes use of other relevant open source building blocks including [`LiteLLM`](https://github.com/BerriAI/litellm), and [`phoenix`](https://github.com/Arize-ai/phoenix)