Organizations running traditional SIEM solutions spend the majority of their time investigating false positives, manually correlating alerts, and maintaining infrastructure instead of responding to real threats. A Forrester Consulting study found that Microsoft Sentinel delivers an 80% reduction in investigation effort compared to legacy SIEMs.

The question is not whether cloud-native SIEM is the future. The question is whether your organization is ready to make the transition.

This 3-week Microsoft Sentinel Workshop is delivered in your production environment with real data ingestion to answer that question. You will see Sentinel working against your actual security data, not a demo tenant.

Who this is for: Security leaders, SOC managers, and IT Directors at organizations with an Azure tenant who are evaluating Microsoft Sentinel as a replacement or complement to their existing SIEM/SOC tools and need to build a business case for production deployment.

Industries we serve: Healthcare, financial services, life sciences, aerospace and defense, and insurance, with compliance alignment to HIPAA, NIST, and PCI-DSS.

What you get in 3 weeks:

Requirements Analysis: We start by understanding your business and IT requirements, your existing SIEM/SOC tools, data sources that need to be connected, and your security operations automation requirements. This ensures the engagement is scoped to your real environment, not a generic template.

Deploy and Configure in Production: Microsoft Sentinel is deployed and configured in your environment with data ingestion from Azure AD Identity Protection, Microsoft Defender for Cloud Apps, Microsoft Defender for Office 365, agreed third-party Syslog sources, and a limited number of on-premises servers. Azure Lighthouse is configured for secure management access.

3-Week Remote Monitoring: Unlike a typical workshop that ends after configuration, this engagement includes 3 weeks of limited remote incident monitoring and proactive threat hunting in your environment. This is where real value emerges because Sentinel is analyzing your actual security data over time, not just a snapshot.

Threat Discovery and Report: Using Microsoft Sentinel, we analyze and discover threats specific to your organization. Navigate the relationships between related alerts, bookmarks, and entities. Expand the scope using exploration queries. The result is a Threat Exploration Report with findings mapped to your real environment.

Recommendations and Deployment Roadmap: Found threats are mapped to Microsoft 365 security products with a clear Microsoft Sentinel deployment roadmap for production. You leave with the evidence and business case your leadership team needs to make a deployment decision.

What makes this different: Most Sentinel workshops configure the tool and walk away. This engagement includes 3 weeks of actual remote monitoring with 2 hours per week of dedicated analyst time. You see Sentinel working in your environment over time, collecting real data, surfacing real threats, and demonstrating real value before you commit to a full deployment.

Data ingestion at scale: Microsoft Sentinel is a proven log platform with more than 10 petabytes of daily ingestion capacity. It collects security data from Azure and Microsoft 365 (security alerts, activity data), CEF/Syslog collectors (Windows, Linux), TAXII and Microsoft Graph (threat indicators), and custom log APIs. This engagement connects your most critical data sources to demonstrate the breadth of visibility Sentinel provides.

Pricing: $5,000. Click "Contact Me" to schedule a discovery call and confirm this engagement fits your environment.

Why Exelegent? Exelegent is a cybersecurity and compliance services company with 10 years of experience across regulated industries. Over 200 clients have trusted our team. 100% customer retention rate. $20M+ in documented savings delivered to customers. Our team has deep expertise in Microsoft Sentinel deployment, configuration, and security operations, backed by advanced capabilities in security, cloud platform, and data analytics.

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