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Is your feature request related to a problem? Please describe.
Cisco Secure Firewall Threat Defense analytics in ESCU already cover:
High EVE threat confidence (ML-ish encrypted path) as an intermediate finding
High-priority classic Snort intrusion classifications as stronger findings
Missing: an explicit SnortML (GeneratorID / GID 411) path that encodes the hard rule ML probability ≠ signature true positive, plus a signature + EVE corroboration analytic for dual-signal FIX_NOW-class triage.
Without that split, agentic / automated response consumers over-trust ML-only highs and under-train corroboration — inflating false containment.
Describe the solution you'd like
Detection: Cisco Secure Firewall - SnortML High Confidence ML-Only
Type: Anomaly / intermediate finding (escalate/corroborate — not auto-contain)
Detection: Cisco Secure Firewall - Signature Plus EVE Corroboration
Classic Snort (GeneratorID!=411) joined with ConnectionEvent EVE_ThreatConfidencePct >= 80
Type: TTP / higher finding score
Companion attack_data samples for unit tests under datasets/cisco_secure_firewall_threat_defense/intrusion_event_snortml/ and .../dual_signal_corroboration/
Attach both detections to analytic story Cisco Secure Firewall Threat Defense Analytics
Describe alternatives you've considered
Only tuning known_false_positives on High EVE — helpful but does not surface GID 411 as a first-class signal class.
Risk-rule-only correlation outside ESCU — weaker distribution to ES customers.
Additional context
Draft detection YMLs + attack_data samples prepared locally; will open PRs after CLA + maintainer feedback.
Activity
AAH20 commentedon Aug 16, 2026
Draft PRs opened for review of the approach (CLA still pending on my side):
Happy to adjust SPL / finding scores / naming per STRT feedback before any merge.
AAH20 commentedon Aug 16, 2026
CLA status: signed (individual contribution agreement completed).
Ready for maintainer review on: