feat: labeled dual-signal SnortML+signature and Splunk-notable triage corpus - #389
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AAH20 wants to merge 2 commits into
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feat: labeled dual-signal SnortML+signature and Splunk-notable triage corpus#389AAH20 wants to merge 2 commits into
AAH20 wants to merge 2 commits into
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… corpus Add a disposition-labeled eval pack that encodes ML ≠ signature TP, with a validator that rejects ML-only high auto-contain/fix_now labels for agentic SOC training. Co-authored-by: Cursor <cursoragent@cursor.com>
This was referenced Aug 16, 2026
This was referenced Aug 16, 2026
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Summary
Adds a labeled dual-signal triage corpus for SnortML-style (GID:411) scores,
classic signature alerts, and Splunk-notable-shaped events.
Why
SnortML documentation and agentic-SOC practice require that ML probability
not be treated as equivalent to a signature true positive. Training corpora
that flatten alerts into a single "bad" label teach the wrong automation habit
and inflate false containment and agent compute burn.
What's included
auto_containorfix_nowOut of scope
Engine parser CVEs, which belong in Cisco PSIRT rather than this PR.
Production application
Aegis Decision Fabric exercises this corpus for composite-confidence evaluation,
gated remediation, and FP/TP feedback:
https://github.com/AAH20/aegis-decision-fabric
Secure Firewall and Splunk teams can review the fixed-scope implementation offer
at https://a2zsoc.com/consultation.
Test plan
python scripts/validate_dual_signal_triage_corpus.py scenarios/dual-signal-triage-corpus/corpus/labeled_events.jsonpytest tests/unit/test_dual_signal_triage_corpus.py --no-cov