SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
Recent advances in large language models and agentic frameworks have enabled virtual customer assistants (VCAs) for complex support. We present SecMate, a multi-agent VCA for cybersecurity troubleshooting that integrates device, user, and service specificity from conversational and device-level signals. Device specificity is provided by a lightweight local diagnostic utility, while user specificity relies on implicit proficiency inference and profile-aware troubleshooting. Service specificity is achieved through a proactive, context-aware recommender. We evaluate SecMate in a controlled study with 144 participants and 711 conversations. Device-level evidence increased correct resolutions ...
| Authors | Yair Meidan, Omri Haller, Yulia Moshan et al. |
|---|---|
| Primary category | cs.CR |
| Published | 29 April 2026 |
| Last updated at source | 29 April 2026 |
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