Researchers have developed an agentic workflow that uses large language models (LLMs) to automate the initial stages of security alert investigations. This system integrates predefined queries and tool access, such as SQL over logs and text search, to correlate information across multiple sources. The LLM component plans investigations and extracts evidence, demonstrating higher accuracy than LLMs used without this structured workflow. AI
IMPACT Automates initial security alert investigations, potentially reducing manual workload for security analysts.
RANK_REASON This is a research paper detailing a novel approach to security alert investigation using LLMs.
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