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LLMs for Zero-Shot Threat Detection Via Structured Risk Indicators
We propose a two-stage large language model LLM framework for zero-shot detection of insider threats and advanced persistent threats APTs from heterogeneous security logs. The framework models user activity as chronological timelines and incorporates retrieval-augmented generation RAG to provide...
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