Verify
Each notable event is checked against its alarm configuration. Out-of-scope or unverifiable events are auto-closed and reported as configuration gaps — the queue only holds real, in-scope alarms.
Our SIEM module turns raw detections into decision-ready cases: every notable event is verified, enriched with business context, correlated into one case, MITRE ATT&CK mapped and prioritized — before an analyst decides.
The SIEM pipeline runs hands-off where it should — and hands the analyst a case that is already understood.
Each notable event is checked against its alarm configuration. Out-of-scope or unverifiable events are auto-closed and reported as configuration gaps — the queue only holds real, in-scope alarms.
CMDB context is attached at event time: asset owner, business criticality, location, protection requirement, end-of-life status and the owning tenant.
Related notables are grouped into one living, append-only case instead of duplicate tickets — with config-driven grouping keys and reopen windows.
Use-cases carry tactic and technique metadata and a live ATT&CK coverage matrix exposes the gaps. Priority, documentation and response playbooks live in the same platform as the case — no wiki hunt, no tool switching.
A transparent priority chain (tenant defaults, then system defaults) drives severity and the matching SLA clock — consistent across every analyst and every shift.
Where you run an on-call rota, critical cases page it via PagerDuty, Zenduty, Teams bots or another alerting logic on request — deduplicated per case. Countermeasures can also run automatically if you want them to (SOAR product option required); escalation and critical actions stay an analyst decision.
One investigation surface per case: timeline, enriched asset context, related notables, MITRE context and a full audit trail.
Allow-list entries require justification, second-analyst approval and time-bounded validity — fully audited, no silent tuning.
Per-priority SLA computation with breach boards, minutes-overdue views and met-versus-breached reporting.
Primary and secondary closure tags produce consistent, reportable dispositions — plus mass closure for noisy scenarios.
A managed detection library with owners, tuning history and MITRE navigator — detection engineering instead of one-off searches.
Automatic and manual use-case retesting proves detections actually fire, while platform health monitoring watches the watchers.
Customer attribution is central and authoritative, not left to individual dashboards. Isolation runs end to end — detection, enrichment, case, alarm, dashboard and web console.
AI drafts triage summaries, suggests use-case descriptions, priorities and MITRE mapping. Escalation, response and closure remain human decisions.
Model-flexible operation with cloud providers, a LiteLLM proxy or local Ollama models for on-premise processing.
The SIEM module enhances your Splunk platform instead of replacing it — and it is operated by our SOC analysts if you want it managed.
Pre-built integrations across detection, response, intel and on-call — new sources connect via REST API, webhooks or custom connectors.
Human-approved response playbooks with a visual workflow engine, encrypted secrets and audited actions.
Explore SOAR →Scanner findings become SLA-tracked cases, prioritized by real-world exploitability (KEV/EPSS) and asset criticality.
Explore Vulnerability Mgmt →Operational IOC dashboards and pipeline enrichment feed directly into detection and case context.
Explore Threat Intel →In a demo we walk you through the pipeline — verification, enrichment, correlation and MITRE coverage — on our sample data. Running it on your real data in your own environment happens as part of a proof of concept.
Phone: +49 6109 500 324 1
Email: [email protected]
Need architecture and use-case work first? See SIEM Consulting / Use-Case Development · CyStrat SOC Suite in detail
Answers to the questions our customers ask most often.
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