We transform fragmented security alerts into clear, actionable insights — building real-time dashboards, automated reporting, and advanced threat correlations using Microsoft Sentinel, Power BI, and enterprise SIEM platforms.
Book a ConsultationFrom log ingestion to board-level reporting, we build the analytics pipelines that power modern security operations.
Custom-built Power BI dashboards that unify metrics from fragmented security tools into a single pane of glass — providing clear visibility for SOC teams and IT leadership.
End-to-end design, deployment, and tuning of Microsoft Sentinel — optimizing log ingestion, writing custom KQL queries, and configuring automated playbooks (SOAR).
Architecture and optimization of enterprise SIEM environments (Splunk, QRadar, Sentinel) — ensuring high-fidelity alerting, reduced noise, and efficient data retention.
Integration of threat intelligence feeds and AI-driven behavioral analytics (UEBA) to detect anomalies, insider threats, and sophisticated attack patterns missed by traditional rules.
Translating technical risk into business terms — designing automated board-level reports that quantify risk reduction, compliance posture, and security ROI.
Building secure, high-throughput data pipelines that route logs and telemetry from multi-cloud and on-prem sources into centralized analytics platforms.
Examples of how our analytics solutions have transformed security operations for our clients.
Architected and executed the migration from a legacy on-prem SIEM to Microsoft Sentinel — reducing false positives by 42% and cutting annual infrastructure costs by $250K through optimized log ingestion.
Developed a suite of automated Power BI dashboards connecting data from CrowdStrike, M365, and AWS — giving the CISO real-time visibility into vulnerability posture and compliance status.
Implemented UEBA models over existing security data lakes to identify high-risk user behavior, successfully detecting unauthorized data staging attempts prior to exfiltration.
A data-centric approach focused on actionable intelligence, not just collecting logs.
We work with stakeholders to define use cases, identify required telemetry sources, and map data flows to ensure we capture the right data without paying for unnecessary noise.
We design the analytics architecture (SIEM, Data Lake, or BI environment) focusing on scalability, retention requirements, and cost-effective ingestion routing.
Our engineers build the parsing rules, develop custom correlation logic (e.g., KQL, SPL), and design the visualizations and dashboards tailored to different user personas.
We rigorously test the analytics pipelines against real-world scenarios, tune out false positives, and transition operational runbooks to your SOC or security team.
Connect with our Analytics engineers to discuss your environment.
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