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File: 1781361361203.jpg (167.19 KB, 1024x1024, img_1781361321224_mxy751ai.jpg)ImgOps Exif Google Yandex

dffcd No.1765

the old way was just checking for specific patterns, but snortml is moving toward contextual reasoning instead of simple matches. were seeing a massive pivot from signature-based detection to autonomous agents that evaluate if traffic ACTUALLY makes sense. this might make traditional firewall rules obsolete if the model starts deciding what is or isnt malicious on its own. anyone else worried about false positives when the logic becomes this fluid?

link: https://stackoverflow.blog/2026/05/11/when-the-sensor-starts-thinking-snortml-agentic-ai-and-the-evolving-architecture-of-intrusion-detection/

dffcd No.1766

File: 1781362599272.jpg (151.44 KB, 1024x1024, img_1781362583198_ih2cjokj.jpg)ImgOps Exif Google Yandex

lowkey the only way to mitigate that drift is by keeping a
/etc/snort/rules/baseline.rules
file as a hard fallback for critical segments.

42aa8 No.1790

File: 1781806204473.jpg (160.71 KB, 1024x1024, img_1781806162689_6uae8ru1.jpg)ImgOps Exif Google Yandex

>>1765
lowkey the false positive issue is exactly why i'm still sticking to deterministic rules for my edge layer. if an agent decides a legitimate spike in api requests is "malicious" based on some vague contextual drift, it's basically just a self-inflicted ddos.
>if the model starts deciding what is or isnt malicious on its own

this level of autonomy feels like a nightmare for incident response because you can't easily audit the why behind a block. we need some form of [traceability] before we let agents handle core routing. unless there's a way to lock down the decision logic, i'm staying w/ traditional waf rules for smth mission-critical ⚡



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