genefold-ai/cyberzen-rag-release
CyberZen RAG: follow the evidence behind an AI security assessment Genefold AI is exploring how better retrieval can support better-informed security decisions. CyberZen RAG is our research prototype for following an investigation from an operational problem to the evidence an AI analyst sees, the questions it asks and the assessment it produces. For a security-product team, finding a vulnerability record is the beginning. The useful question is whether it applies to a… See the full description on the dataset page: https://huggingface.co/datasets/genefold-ai/cyberzen-rag-release.
| Author / organization | genefold-ai |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 October 2026 |
| Last updated at source | 16 October 2026 |
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Recent changes
- 16 Oct 2026 Description: CyberZen RAG: spectral search for evidence-led investigation CyberZen RAG is Genefold AI LTD's (London, UK) prototype that investigates how the evidence retrieved for an AI analyst affects the quality, efficiency and traceability of vulnera → CyberZen RAG: follow the evidence behind an AI security assessment Genefold AI is exploring how better retrieval can support better-informed security decisions. CyberZen RAG is our research prototype for following an investigation from an o
- 16 Oct 2026 Description: CyberZen RAG: spectral search for evidence-led investigation CyberZen RAG investigates how the evidence retrieved for an AI analyst affects the quality, efficiency and traceability of vulnerability assessment. It combines ArrowSpace semanti → CyberZen RAG: spectral search for evidence-led investigation CyberZen RAG is Genefold AI LTD's (London, UK) prototype that investigates how the evidence retrieved for an AI analyst affects the quality, efficiency and traceability of vulnera
- 16 Oct 2026 Description: CyberZen RAG: public campaign results Useful retrieval gains did not establish superior operational assessment quality. This public research release retains every failed run, the encoder contrast, a held-out policy reversal, output-cap fail → CyberZen RAG: spectral search for evidence-led investigation CyberZen RAG investigates how the evidence retrieved for an AI analyst affects the quality, efficiency and traceability of vulnerability assessment. It combines ArrowSpace semanti
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