Security Analytics That Speeds Up Investigation Loops
Security Analytics That Speeds Up Investigation Loops Context Security and data teams don’t need more dashboards—they need actionable signals and reliable workflows to detect issues, investigate quick...
Security Analytics That Speeds Up Investigation Loops
Context
Security and data teams don’t need more dashboards—they need actionable signals and reliable workflows to detect issues, investigate quickly, and automate response where appropriate.
What we built
A security analytics and data analysis capability using Splunk tooling and modern data stacks to operationalize detection and investigation.
Core problem
Enable faster decision-making and investigation by turning raw data into:
- meaningful alerts,
- correlated signals,
- reliable investigation workflows.
Architecture highlights
- Splunk tooling: Splunk Attack Analyzer, Splunk Enterprise Security, and Splunk SOAR
- Analytics layer: Tableau, Python, and Spark for deeper analysis, enrichment, and reporting patterns
- Operationalization: patterns that convert analytics into repeatable investigation loops and measurable outcomes
Outcome
Better visibility and faster investigation through operationalized analytics—reducing time-to-triage and improving response consistency.
Next step
Use chat to describe your security analytics goals, or request a consultation for architecture and implementation planning.