Drown your alert queue, not your analysts.
Stacklume's STACK Triage agent reads your existing detections, enriches with model and identity context, and closes the noise — so your tier-1 team only sees real incidents.
Analyst burnout has a root cause
Most SIEM noise is duplicate, stale, or missing context. We fix the input, not the dashboard.
Cross-Source Correlation
Stitch identity events, model API calls, EDR, and cloud audit logs into single incident timelines.
Precision Triage
Each alert lands with confidence score, prior-art lookup, and recommended action — not raw JSON.
SLO-Driven
Configurable SLOs per alert class. Breaches escalate. Quiet alerts close themselves.
Detection-as-Code
Sigma, KQL, and Lucene rules version-controlled and tested before they reach production.
Native Splunk/Sentinel/Chronicle
Read-only ingestion. We don't replace your SIEM — we make it tractable.
Auto-Response Playbooks
Reversible containment for the top 12 attack patterns: token revoke, session kill, network quarantine, snapshot.
→ Ingested: 18,442 raw alerts
→ Correlated: 1,203 incidents
→ Auto-closed (low confidence): 14,381
→ Escalated to Tier-2: 47
→ Avg time to first action: 11m 03s
Questions teams ask before deploying
Straightforward answers about scope, integration, data handling, and rollout.
Do you replace our SIEM?
No. We integrate with Splunk, Sentinel, Chronicle, and Elastic. Your detections stay where they are; we add a triage layer on top.
How do you avoid auto-closing real attacks?
Every closure is reversible and auditable. You set thresholds. We default to conservative — first 30 days mark-only, no auto-action.
Can we keep our SOAR?
Yes. We export to Tines, XSOAR, and Swimlane via webhooks. We're a triage layer, not a runbook engine.
How long to deploy?
Read-only telemetry connection in 2 days. Triage running in shadow mode in week 1. Production-driving by week 3.