Training
Help your team move from ‘basic usage’ to ‘production-grade Sentinel operations.’ Training is designed for SOC analysts, security engineers, and cloud security teams who work with Microsoft Sentinel in real environments.
What your team will learn:
- Sentinel fundamentals: data connectors, workspaces, incidents, and workbooks
- Ingesting servers and network devices into Sentinel (Windows, Linux, firewalls, switches, routers)
- Writing effective KQL queries for hunting, analytics rules, and investigations
- Building detections mapped to MITRE ATT&CK and real-world attack patterns
- Designing dashboards and workbooks for SOC visibility
- Using automation rules and playbooks to reduce manual workload
How the training works:
Format: Live online sessions (can be split across multiple days)
Style: Demo + hands-on labs using real Sentinel scenarios
Customization: Content tailored to your environment and use cases
Consultancy
If you already use Microsoft Sentinel but feel you are not getting full value, this consultancy service helps you fix blind spots, improve detections, and align Sentinel with your security goals.
Typical problems solved:
- Too many false positives and alert fatigue
- Important attacks not detected or detected too late
- Unclear Sentinel cost drivers and noisy data sources
- No clear detection roadmap or use-case library
- Limited automation and manual, repetitive tasks
- Data sources not properly integrated or ingesting correctly
What you get:
- Environment review and configuration assessment
- Data source optimization and server/network device integration
- Design or refinement of analytics rules and hunting queries
- Recommendations for playbooks, automation rules, and workbooks
- A clear improvement plan your team can follow
Engagement formats:
Ongoing Advisory Support (monthly retainer)
One-time Sentinel Health Check
Short-term Optimization Engagement (4-6 weeks)
Support
For teams that need a steady expert to guide them, this service provides ongoing help with Sentinel tuning, troubleshooting, and continuous improvement.
Support scope:
- Help with incident investigations and KQL-based deep dives
- Fine-tuning analytics rules as new threats emerge
- Data source integration and server/network device onboarding
- Reviewing new connectors, data sources, and features
- Suggestions for automation opportunities and best practices
- Regular check-ins to review health, cost, and coverage
Support model:
Fixed number of hours per month or flexible advisory model
Remote support via email, calls, and scheduled sessions
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