
Jonathan developed and enhanced advanced email threat detection and automation features in the Azure/Azure-Sentinel repository over four months. He engineered Kusto Query Language (KQL) hunting queries and custom detection rules for Microsoft Defender for Office 365 and Defender XDR, expanding coverage for malware, phishing, and OAuth-based threats. Jonathan automated user remediation workflows using Azure Logic Apps and PowerShell scripting, integrating incident analysis with targeted phishing training. His work included YAML and ARM Template management, rigorous query maintenance, and documentation updates. These contributions improved detection accuracy, streamlined deployment, and strengthened cross-workload security analytics, demonstrating depth in security engineering and automation.

August 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 – 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.
July 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 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 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 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.
May 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 – 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.
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