Sentinel architecture and deployment
Workspace strategy, tenant design, management-group alignment, subscriptions, Log Analytics, RBAC, retention and operational ownership.
Outcome: a secure and scalable Sentinel foundation.
Microsoft Security • SIEM • SOAR
Microsoft Sentinel Services
GEMXIT helps organisations design, deploy, optimise and operationalise Microsoft Sentinel as a modern cloud-native SIEM and SOAR platform. Our services cover architecture, data connectors, analytics rules, KQL threat hunting, workbooks, automation, incident investigation, cost governance and integration with Microsoft Defender XDR, Microsoft Entra ID, Azure and third-party security platforms.
Practical Sentinel engineering backed by real KQL investigations, Microsoft security operations experience and the Agent Foskett Sentinel Academy.
Build a Sentinel platform your team can actually operate
Microsoft Sentinel delivers the most value when architecture, data quality, detections, automation, investigation workflows and cost controls are designed together.
Clear workspace, retention and data connector architecture
Useful analytics rules, workbooks and KQL hunts
Operational automation, governance and incident workflows
Microsoft Sentinel consulting without the generic SIEM checklist
GEMXIT combines Sentinel architecture and security operations consulting with the Agent Foskett Microsoft Security Investigation Library, practical KQL guides and a dedicated Sentinel Academy. The result is advice grounded in real investigation workflows rather than product-only configuration.
Microsoft Sentinel consulting services
From first deployment through to mature detection engineering, automation and ongoing optimisation, GEMXIT helps organisations build a Sentinel environment that is useful, supportable and cost-aware.
Data connectors and ingestion
Microsoft 365, Defender XDR, Entra ID, Azure, Windows, Linux, Syslog, CEF, AWS and custom security data integration.
Outcome: useful telemetry with clear ownership and health monitoring.
Detection engineering
Scheduled and near-real-time analytics rules, entity mapping, incident grouping, MITRE ATT&CK alignment, Fusion and tuning.
Outcome: better alerts, stronger context and less noise.
KQL threat hunting
Custom hunts, joins, unions, parsing, dynamic data, watchlists, reusable functions, query optimisation and investigation packs.
Outcome: repeatable investigations across multiple data sources.
Workbooks and reporting
Operational dashboards, executive reporting, investigation workbooks, connector health and security posture visibility.
Outcome: dashboards that support decisions, not just display data.
SOAR automation and playbooks
Automation rules, Logic Apps, incident enrichment, ticketing, notifications, approvals and controlled response actions.
Outcome: faster and more consistent incident handling.
What a strong Sentinel operating model includes
A technically correct deployment is only the start. Sentinel needs ownership, lifecycle management and clear operational processes.
- Data ownership. Every connector has a purpose, technical owner, health check and retention decision.
- Detection lifecycle. Rules are tested, tuned, documented, mapped to threats and reviewed over time.
- Investigation consistency. Analysts use repeatable triage, enrichment, timeline and escalation workflows.
- Cost governance. Ingestion, retention, commitment tiers and high-volume data sources are reviewed regularly.
Microsoft security integrations
Microsoft Sentinel becomes significantly more valuable when it connects identity, endpoint, email, cloud and data-security signals.
- Microsoft Defender XDR incidents and advanced hunting
- Microsoft Entra ID sign-ins, risk and audit activity
- Azure platform, resource, network and activity telemetry
- Microsoft 365, Defender for Office 365 and Microsoft Purview signals
What you receive
Clear technical and operational deliverables that your team can continue using after the engagement.
Current-state assessment
A structured review of architecture, data sources, rule coverage, automation, permissions, cost, operations and known risks.
Target architecture and implementation plan
Documented Sentinel, Log Analytics, connector, retention, RBAC, integration and migration design.
Detection and hunting pack
Analytics rules, KQL queries, watchlists, functions, investigation guidance and tuning notes.
Operational handover and training
Runbooks, technical walkthroughs, analyst enablement and optional Microsoft Sentinel and KQL training.
Backed by the Agent Foskett Microsoft Sentinel Academy
GEMXIT publishes practical Sentinel lessons covering workspaces, data connectors, analytics rules, incidents, hunting, bookmarks, investigation graphs, UEBA, Fusion, Content Hub, notebooks, workbooks, automation rules and Logic App playbooks. This public learning library supports the same investigation-first approach used in our consulting work.
Related GEMXIT services
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Related learning resources
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