Azure/Azure-Sentinel
Dec 2024 – Jan 2025
2 Months active
Languages Used
CSVJSONKQLPythonSVGTypeScriptYAML
Technical Skills
Asset ManagementAzure SentinelCloud SecurityConfiguration ManagementData EngineeringData Validation
Sean McClelland
PROFILE
Sean Mcclelland
Developed and integrated Samsung Knox Asset Intelligence with Azure Sentinel in the Azure/Azure-Sentinel repository, delivering end-to-end threat visibility through consolidated data connectors, analytics templates, and workbooks. Addressed analytics rules validation by resolving schema gaps and enhanced onboarding with improved sample data, logos, and metadata mappings. Leveraged skills in KQL, Python, and JSON to streamline deployment and ensure repeatable onboarding patterns for Knox data. Provided clear deployment guidance by updating configuration files and documentation, reducing ambiguity and support overhead for customers. The work improved detection accuracy, usability, and maintenance, aligning with Azure Sentinel best practices for security analytics and cloud integration.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
2
Lines of code
5,706
Activity Months2
Your Network
379 peopleShared Repositories
194
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 | Repository: Azure/Azure-Sentinel Focused feature delivery for Samsung Knox Asset Intelligence data connector deployment in Azure Sentinel. This work clarifies required Sentinel DCE and DCR values from the Azure portal to enable end-to-end integration, supported by a JSON configuration update. Commit reference: f1d1f5c99891ac0bc84bd69b86f3e09799097619 (Solutions/Samsung Knox Asset Intelligence/Data Connectors/SamsungDCDefinition.json). Business value: reduces deployment ambiguity, accelerates onboarding, and lowers post-deployment support costs for customers adopting Samsung Knox Asset Intelligence with Azure Sentinel. Technologies/skills demonstrated: Azure Sentinel, data connectors, JSON configuration, infrastructure guidance, and repository maintenance.
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 | Repository: Azure/Azure-Sentinel Focused feature delivery for Samsung Knox Asset Intelligence data connector deployment in Azure Sentinel. This work clarifies required Sentinel DCE and DCR values from the Azure portal to enable end-to-end integration, supported by a JSON configuration update. Commit reference: f1d1f5c99891ac0bc84bd69b86f3e09799097619 (Solutions/Samsung Knox Asset Intelligence/Data Connectors/SamsungDCDefinition.json). Business value: reduces deployment ambiguity, accelerates onboarding, and lowers post-deployment support costs for customers adopting Samsung Knox Asset Intelligence with Azure Sentinel. Technologies/skills demonstrated: Azure Sentinel, data connectors, JSON configuration, infrastructure guidance, and repository maintenance.
January 2025
December 2024
10 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for Azure-Sentinel development focused on Knox Asset Intelligence (KAI) integration and analytics validation. Delivered a consolidated KAI integration for Azure Sentinel, bringing together data connectors, analytics templates, workbook, assets, and KAI metadata to enable end-to-end Knox-based threat visibility. The work included 9 commits across repository features (data connectors, workbook assets, logos, sample data, and validation updates) and established a repeatable onboarding pattern for Knox data. Addressed a critical analytics rules validation gap by fixing missing tactics and techniques fields to satisfy the schema. Enhanced workbook previews, logos, and metadata to improve usability and adoption. Overall, the changes lowered onboarding effort, improved detection accuracy, and strengthened security operations for Sentinel customers leveraging Knox data.
December 2024
10 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for Azure-Sentinel development focused on Knox Asset Intelligence (KAI) integration and analytics validation. Delivered a consolidated KAI integration for Azure Sentinel, bringing together data connectors, analytics templates, workbook, assets, and KAI metadata to enable end-to-end Knox-based threat visibility. The work included 9 commits across repository features (data connectors, workbook assets, logos, sample data, and validation updates) and established a repeatable onboarding pattern for Knox data. Addressed a critical analytics rules validation gap by fixing missing tactics and techniques fields to satisfy the schema. Enhanced workbook previews, logos, and metadata to improve usability and adoption. Overall, the changes lowered onboarding effort, improved detection accuracy, and strengthened security operations for Sentinel customers leveraging Knox data.
Activity
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Quality Metrics
Correctness96.4%
Maintainability96.4%
Architecture96.4%
Performance91.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJSONKQLPythonSVGTypeScriptYAML
Technical Skills
Asset ManagementAzure SentinelCloud SecurityConfiguration ManagementData EngineeringData ValidationData VisualizationDocumentationFull Stack DevelopmentKQLSIEMSample Data GenerationSamsung KnoxSecurity AnalyticsSecurity Information and Event Management (SIEM)
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline