Alibaba-NLP/SecRespond
SecRespond π» GitHub | π€ ModelScope | π Paper Introduction SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response evaluates whether an AI agent can investigate a compromised host after an attack has already succeeded. For each cyber range, the responder receives a frozen forensic disk snapshot together with synthetic host-security-product outputs, then produces an evidence-backed incidentβ¦ See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-NLP/SecRespond.
| Author / organization | Alibaba-NLP |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 239 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 22 July 2026 |
| Last updated at source | 30 July 2026 |
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