Azure/Azure-Sentinel
May 2025 – Aug 2025
4 Months active
Languages Used
KQLYAMLkqlyamlJSONMarkdownPowerShell
Technical Skills
Azure SentinelConfiguration ManagementFile ManagementKusto Query Language (KQL)Microsoft 365 DefenderMicrosoft Defender XDR
Jonathan Devere-Ellery
PROFILE
Jonathan Devere-ellery
Contributed to the Azure/Azure-Sentinel repository by developing and enhancing advanced threat hunting and detection features for Microsoft Defender platforms, focusing on email security and cross-workload analytics. Leveraged Kusto Query Language (KQL), PowerShell scripting, and YAML to design queries that improved detection of phishing, malware, and OAuth-based threats, while automating user remediation and training workflows through Azure Logic Apps. Addressed operational reliability by refining query hygiene, restructuring YAML configurations, and fixing syntax issues. The work strengthened incident response, streamlined deployment, and expanded analytics coverage across Defender for Office 365, SharePoint, OneDrive, and Teams, delivering measurable improvements in threat visibility and response.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
31Total
Bugs
2
Commits
31
Features
8
Lines of code
7,547
Activity Months4
Your Network
4914 peopleSame Organization
@microsoft.com4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember
Shared Repositories
194
Work History
August 2025
6 Commits • 2 Features
Aug 1, 2025August 2025 – Azure/Azure-Sentinel: Delivered two end-to-end features enhancing phishing detection and user training, with deployment reliability improvements and clear documentation. The work emphasizes business value by strengthening detection coverage, automating user remediation, and reducing deployment friction across Azure environments.
6 Commits • 2 Features
Aug 1, 2025August 2025 – Azure/Azure-Sentinel: Delivered two end-to-end features enhancing phishing detection and user training, with deployment reliability improvements and clear documentation. The work emphasizes business value by strengthening detection coverage, automating user remediation, and reducing deployment friction across Azure environments.
August 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Azure/Azure-Sentinel: Delivered the MDO Efficacy Hunting Query to measure detection and mitigation of email threats in Defender for Office 365. Implemented pre-delivery and post-delivery effectiveness metrics by analyzing mail flow events, post-delivery actions, and admin submissions. Fixed a KQL syntax issue in YAML definitions used by related queries by replacing summarize count(NetworkMessageId) with summarize count(). This work enhances accuracy of threat-efficacy analytics and reduces misconfigurations. The changes were implemented through two commits: 0c68e24b4771d8423464c21b7a51502751d663c5 (Add MDO efficacy query) and b51388c373ec7b512d4b479c44993304219808e8 (Fix summarize operation).
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Azure/Azure-Sentinel: Delivered the MDO Efficacy Hunting Query to measure detection and mitigation of email threats in Defender for Office 365. Implemented pre-delivery and post-delivery effectiveness metrics by analyzing mail flow events, post-delivery actions, and admin submissions. Fixed a KQL syntax issue in YAML definitions used by related queries by replacing summarize count(NetworkMessageId) with summarize count(). This work enhances accuracy of threat-efficacy analytics and reduces misconfigurations. The changes were implemented through two commits: 0c68e24b4771d8423464c21b7a51502751d663c5 (Add MDO efficacy query) and b51388c373ec7b512d4b479c44993304219808e8 (Fix summarize operation).
June 2025
17 Commits • 4 Features
Jun 1, 2025June 2025 Highlights for Azure/Azure-Sentinel: - Delivered feature-rich threat hunting capabilities for Defender for Office 365, including inbound email queries, admin/user overrides, submission analytics, and SVG-based detections with data-type integration to improve visibility into email threats. - Enhanced post-delivery monitoring with Zero-hour Auto Purge (ZAP) and quarantine analytics; added new ZAP/quarantine queries and removed legacy total ZAP counts to streamline monitoring. - Expanded coverage with cross-workload malware and phishing detection across SharePoint/OneDrive/Teams and Defender for Office 365 (MDO), including malware trends, top families, and BEC/spoof detection. - Implemented OAuth phishing detection rule for Defender XDR to identify potential OAuth phishing emails via Microsoft OAuth endpoints. - Fixed KQL format issue for detection-type counts by removing percent-based calculations and correcting output ordering to improve accuracy. Overall, these changes improve threat visibility, reduce time-to-detection, and strengthen cross-workload resilience, delivering measurable business value across security analytics, incident response, and governance.
17 Commits • 4 Features
Jun 1, 2025June 2025 Highlights for Azure/Azure-Sentinel: - Delivered feature-rich threat hunting capabilities for Defender for Office 365, including inbound email queries, admin/user overrides, submission analytics, and SVG-based detections with data-type integration to improve visibility into email threats. - Enhanced post-delivery monitoring with Zero-hour Auto Purge (ZAP) and quarantine analytics; added new ZAP/quarantine queries and removed legacy total ZAP counts to streamline monitoring. - Expanded coverage with cross-workload malware and phishing detection across SharePoint/OneDrive/Teams and Defender for Office 365 (MDO), including malware trends, top families, and BEC/spoof detection. - Implemented OAuth phishing detection rule for Defender XDR to identify potential OAuth phishing emails via Microsoft OAuth endpoints. - Fixed KQL format issue for detection-type counts by removing percent-based calculations and correcting output ordering to improve accuracy. Overall, these changes improve threat visibility, reduce time-to-detection, and strengthen cross-workload resilience, delivering measurable business value across security analytics, incident response, and governance.
June 2025
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 – Azure/Azure-Sentinel: Delivered enhanced email threat hunting queries for Defender/MDO and Microsoft 365 Defender, plus maintenance to improve query hygiene and structure. Implemented new and expanded coverage including top malware families, top domains, admin/user submission trends, top targeted users, and email overrides insights. Commits involved: 6b3109ea1c2c1a88190e65ba921a2ab7debcf1fe, 90998992c738a38b909db699cbb9d1f4f923aa9b, d84a4301dbbba37a43d50aace584869796d982e5. Maintenance updates included cleanup of hunting queries, removal of duplicates, GUID and file path updates, YAML reorganization, and moving Admin and User Submission Trend.yaml to Submissions. Commits: 80dc8d9a66d342ae3e7c4cb67d4f8b635b0be85a, d783d764b2012b5bec187ba501f13c4f38de6c3d, 31599f1855ac91dca49f3323eaf92d5de6964fd2. Overall impact: improved threat detection for email-based threats, reduced maintenance risk, and clearer versioning. Skills: query design for Defender platforms, YAML/metadata management, version control hygiene, and cross-platform threat analytics.
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 – Azure/Azure-Sentinel: Delivered enhanced email threat hunting queries for Defender/MDO and Microsoft 365 Defender, plus maintenance to improve query hygiene and structure. Implemented new and expanded coverage including top malware families, top domains, admin/user submission trends, top targeted users, and email overrides insights. Commits involved: 6b3109ea1c2c1a88190e65ba921a2ab7debcf1fe, 90998992c738a38b909db699cbb9d1f4f923aa9b, d84a4301dbbba37a43d50aace584869796d982e5. Maintenance updates included cleanup of hunting queries, removal of duplicates, GUID and file path updates, YAML reorganization, and moving Admin and User Submission Trend.yaml to Submissions. Commits: 80dc8d9a66d342ae3e7c4cb67d4f8b635b0be85a, d783d764b2012b5bec187ba501f13c4f38de6c3d, 31599f1855ac91dca49f3323eaf92d5de6964fd2. Overall impact: improved threat detection for email-based threats, reduced maintenance risk, and clearer versioning. Skills: query design for Defender platforms, YAML/metadata management, version control hygiene, and cross-platform threat analytics.
Activity
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Quality Metrics
Correctness96.2%
Maintainability95.6%
Architecture95.2%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONKQLMarkdownPowerShellYAMLkqlyaml
Technical Skills
ARM TemplatesAzure Logic AppsAzure Resource Manager (ARM) TemplatesAzure SentinelConfiguration ManagementData AnalysisDocumentationEmail SecurityEmail Security AnalysisFile ManagementIncident ResponseKQLKusto Query LanguageKusto Query Language (KQL)Microsoft 365 Defender
Repositories Contributed To
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