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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2506.01984 |
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| _version_ | 1866918044165472256 |
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| author | Sonkar, Nishant |
| author_facet | Sonkar, Nishant |
| contents | CCF v4.0 provides a standard way to ensure that Cisco's cloud products comply with the many quickly evolving requirements worldwide. To cope with increasing demands brought by ISO 27001, SOC 2, NIST, FedRAMP, EU CRA, DORA, and NIS2, CCF v4.0 introduces reliable governance by grouping controls using modules mapped across many frameworks. In this document, I discuss the governance structure controlling the framework's progress, noting how the CAB helped and the relevant steps for mapping and validating controls. Because of this, Cisco now uses the same scalable and audit-ready compliance model in all $ 10 B+ of their cloud offerings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_01984 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bridging Global Frameworks: Governance Strategies Behind Cisco Common Control Framework v4.0 for Scalable Cloud Compliance Sonkar, Nishant Distributed, Parallel, and Cluster Computing CCF v4.0 provides a standard way to ensure that Cisco's cloud products comply with the many quickly evolving requirements worldwide. To cope with increasing demands brought by ISO 27001, SOC 2, NIST, FedRAMP, EU CRA, DORA, and NIS2, CCF v4.0 introduces reliable governance by grouping controls using modules mapped across many frameworks. In this document, I discuss the governance structure controlling the framework's progress, noting how the CAB helped and the relevant steps for mapping and validating controls. Because of this, Cisco now uses the same scalable and audit-ready compliance model in all $ 10 B+ of their cloud offerings. |
| title | Bridging Global Frameworks: Governance Strategies Behind Cisco Common Control Framework v4.0 for Scalable Cloud Compliance |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2506.01984 |