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Alibaba-NLP/SecRespond

SecRespond 💻 GitHub  |   🤖 ModelScope  |   📄 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 incident… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-NLP/SecRespond.

sourceHugging Facecc-by-nc-sa-4.0updated 2mo agoView on Hugging Face
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