GhostWall ingests Suricata telemetry and delivers prioritized incidents, plain-language analysis, and faster response — purpose-built for lean teams that demand signal clarity.
Traditional tools surface raw signals. GhostWall layers in context, correlation, and explainability — compressing the time from detection to informed action.
Suricata provides deep packet and flow telemetry. GhostWall normalizes events at ingestion and enriches each signal with contextual metadata before analysis begins.
Scoring and grouping reduce noise by correlating related signals into discrete incidents — so defenders direct attention to what genuinely warrants investigation.
Each incident surfaces a structured brief: what occurred, probable intent, supporting evidence, and concrete investigative next steps — ready at the moment of response.
GhostWall integrates cleanly alongside your existing detection stack, adding intelligence and context without requiring infrastructure replacement.
Continuous scoring groups related events into high-fidelity incidents, eliminating the noise that compounds analyst fatigue and delays meaningful response.
Every incident produces a structured explanation: what triggered, what evidence supports the classification, and recommended investigative actions — no raw log interpretation required.
A focused interface surfacing active incidents, trend data, and investigation context — built for operational speed rather than executive reporting.
High-confidence notifications delivered directly to chat. Acknowledge, assign, and track incidents without context-switching into a SIEM interface.
Begin with existing Suricata telemetry and expand coverage progressively. GhostWall operates alongside your current stack without disruptive adoption overhead.
Tune sensitivity, category weighting, and policy rules to match your environment — controlling precisely what escalates to an incident versus a logged signal.
The threat detection market is saturated with platforms that generate volume. GhostWall is built around a different premise: that the highest-value output a platform can deliver is clarity — at the moment it matters most.
High-volume, low-context alerting is the primary failure mode of modern detection stacks. GhostWall’s incident model keeps analysts focused on validated, prioritized threats.
Raw telemetry does not support rapid triage. GhostWall produces structured context at the point of detection, compressing the time from alert to informed action.
Automated response capabilities are introduced incrementally — policy-driven, opt-in, and grounded in demonstrated accuracy before any autonomous action is permitted.
The current release establishes the foundation: high-fidelity detection, context-rich incidents, and a prioritization layer built for operational teams. Autonomous capabilities follow as confidence is validated.
Configurable automated response for high-confidence incidents — quarantine rules, dynamic blocklists, and integration-driven containment, all opt-in and policy-governed.
Extended correlation across session and flow data to surface behavioral anomalies that evade signature-based detection — reducing false positive rates at scale.
Full transparency into every risk score — linked supporting indicators, contributing events, and the conditions under which confidence would change.
Persistent behavioral baselines characterizing what is normal for a given environment — making novel anomalies immediately apparent against an established reference.
GhostWall emerged from direct frustration with detection tooling that surfaces alerts without context — leaving analysts to perform the investigative work the platform should have already done. It is designed for the engineers who inherit incidents at 3 AM: practitioners who need a platform that reasons about threats, not one that merely reports them.
A limited cohort of security engineers and small teams is invited to evaluate GhostWall against live Suricata telemetry and provide direct product feedback.
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