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Dataset Β· Hugging Face

Alibaba-NLP/SecRespond

SecRespond πŸ’» GitHub  |   πŸ€– ModelScope  |   πŸ“„ 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.

Author / organizationAlibaba-NLP
License (as declared)cc-by-nc-sa-4.0
Downloads239 (as reported by Hugging Face)
Likes2
Created22 July 2026
Last updated at source30 July 2026
agentbenchmarkcybersecurityincident-responsedigital-forensics
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