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The article analyzes SnortML’s role in expanding Snort 3’s capabilities to detect new variants of known attacks and compares this with agentic artificial intelligence, which adds temporal context and multisource investigation. It also discusses the limitations of the current approach, the proposed integration architecture, and secure deployment requirements.