Azure/Azure-Sentinel
Jun 2025 – Jun 2025
1 Month active
Languages Used
KQLYAMLkqlyaml
Technical Skills
Azure SentinelConfiguration ManagementData AnalysisData VisualizationDocumentationEmail Security
agenadro
PROFILE
Agenadro
Alex worked on the Azure/Azure-Sentinel repository, developing a suite of cross-platform spam detection features for Microsoft 365 Defender and Defender XDR. Using Kusto Query Language (KQL) and YAML, Alex implemented the Spam Detection Trend query to visualize spam activity over time, enhancing security teams’ ability to monitor and respond to threats. The work included building new hunting queries that analyze trends, top sending domains, delivery locations, and targeted users, while deprecating legacy queries to streamline investigations. By addressing encoding and rendering issues, Alex improved query robustness, ultimately expanding detection coverage and simplifying security operations workflows for threat hunting teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
3
Lines of code
728
Activity Months1
Your Network
190 people
Work History
June 2025
9 Commits • 3 Features
Jun 1, 2025June 2025 — Azure/Azure-Sentinel: Delivered cross-platform spam detection insights and enhanced hunting capabilities that improve security operations visibility and response speed. Implemented a new KQL query 'Spam Detection Trend' for visualizing spam detections over time across Microsoft 365 Defender and Defender XDR, with YAML configuration, rendering logic, and encoding fixes. Rolled out a comprehensive 365 Defender spam-detection hunting query suite (including trends, top sending domains, delivery locations, and technologies used) and deprecated legacy queries to streamline investigations. Extended Defender XDR spam detection hunting queries to cover top domains, IPs, delivery locations, and targeted users. These changes improve detection coverage, reduce time-to-detection, and simplify SOC workflows.
9 Commits • 3 Features
Jun 1, 2025June 2025 — Azure/Azure-Sentinel: Delivered cross-platform spam detection insights and enhanced hunting capabilities that improve security operations visibility and response speed. Implemented a new KQL query 'Spam Detection Trend' for visualizing spam detections over time across Microsoft 365 Defender and Defender XDR, with YAML configuration, rendering logic, and encoding fixes. Rolled out a comprehensive 365 Defender spam-detection hunting query suite (including trends, top sending domains, delivery locations, and technologies used) and deprecated legacy queries to streamline investigations. Extended Defender XDR spam detection hunting queries to cover top domains, IPs, delivery locations, and targeted users. These changes improve detection coverage, reduce time-to-detection, and simplify SOC workflows.
June 2025
Activity
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Quality Metrics
Correctness97.8%
Maintainability97.8%
Architecture95.6%
Performance95.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
KQLYAMLkqlyaml
Technical Skills
Azure SentinelConfiguration ManagementData AnalysisData VisualizationDocumentationEmail SecurityKQLKusto Query Language (KQL)Microsoft 365 DefenderMicrosoft Defender XDRMicrosoft Defender for Office 365Security AnalyticsThreat DetectionThreat Hunting
Repositories Contributed To
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