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When the Sensor Starts Thinking: SnortML, Agentic AI, and the Evolving Architecture of Intrusion Detection

stackoverflow.blog·Samaresh Kumar Singh·20 days ago
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Every IDS deployment has a gap. Anyone who has run one long enough eventually finds it, usually at the worst possible time. The gap sits between what you wrote rules for and what the attacker chose to do instead. Classic Snort signatures are genuinely impressive instruments. A well-crafted rule can catch a known exploit with near-zero false positives and overhead that barely registers on a profiler. That precision comes from specificity, and specificity is the whole problem. Write a rule for CVE-2024-12345 and you have coverage for that CVE. A modified payload that clears the same vulnerable code path by a slightly different route? Nothing fires. That is not a criticism of the signature model. It works exactly as designed. Signatures encode specific, verifiable knowledge about what an attack looks like at the wire level, and the low false positive rate is a direct product of that specificity. The real constraint is something harder to solve: exposure time.…

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