
Ido Shabi developed and maintained advanced security data connectors and integration features for the Azure/Azure-Sentinel repository, focusing on cloud security and telemetry ingestion. Over eight months, Ido engineered solutions such as the CrowdStrike API and Illumio Insights connectors, enabling seamless ingestion of alerts and logs into Microsoft Sentinel. His work involved ARM template development, PowerShell scripting, and Python for backend automation, emphasizing robust data modeling and schema design. By addressing deployment reliability, configuration accuracy, and artifact management, Ido improved operational efficiency and reduced maintenance risk. His contributions demonstrated depth in cloud integration, SIEM workflows, and end-to-end data engineering.

August 2025 monthly summary for Azure/Azure-Sentinel focused on delivering value through end-to-end data ingestion and documentation improvements for Illumio Insights integration with Microsoft Sentinel.
August 2025 monthly summary for Azure/Azure-Sentinel focused on delivering value through end-to-end data ingestion and documentation improvements for Illumio Insights integration with Microsoft Sentinel.
June 2025 monthly summary for Azure/Azure-Sentinel focused on delivering a critical new data connector and maintaining robust telemetry ingestion workflows. The CrowdStrike API Data Connector was developed to ingest CrowdStrike alerts, detections, hosts, incidents, and vulnerabilities into Microsoft Sentinel, enabling SOC teams to centralize CrowdStrike telemetry for improved detection and response.
June 2025 monthly summary for Azure/Azure-Sentinel focused on delivering a critical new data connector and maintaining robust telemetry ingestion workflows. The CrowdStrike API Data Connector was developed to ingest CrowdStrike alerts, detections, hosts, incidents, and vulnerabilities into Microsoft Sentinel, enabling SOC teams to centralize CrowdStrike telemetry for improved detection and response.
May 2025 monthly summary for Azure/Azure-Sentinel. Key deliverables include a Data Stream Naming Configuration Fix and an upgrade of CrowdStrike Falcon Endpoint Protection to 3.1.1 across templates, with artifact cleanup. These changes improve data reliability and security posture. Data Stream Naming Configuration Fix: added the streamName parameter in mainTemplate.json and wired it to dcrConfig so the streamName uses the first element correctly, reducing misrouting of data. Falcon Endpoint Protection upgrade: updated from 3.1.0 to 3.1.1 across templates; added the 3.1.1 ZIP artifact and removed the 3.1.0 ZIP to prevent deployment of outdated protection. Impact: improves operational reliability of data streams, strengthens security posture with current protection baseline, and cleans up deployment artifacts for leaner release artifacts.
May 2025 monthly summary for Azure/Azure-Sentinel. Key deliverables include a Data Stream Naming Configuration Fix and an upgrade of CrowdStrike Falcon Endpoint Protection to 3.1.1 across templates, with artifact cleanup. These changes improve data reliability and security posture. Data Stream Naming Configuration Fix: added the streamName parameter in mainTemplate.json and wired it to dcrConfig so the streamName uses the first element correctly, reducing misrouting of data. Falcon Endpoint Protection upgrade: updated from 3.1.0 to 3.1.1 across templates; added the 3.1.1 ZIP artifact and removed the 3.1.0 ZIP to prevent deployment of outdated protection. Impact: improves operational reliability of data streams, strengthens security posture with current protection baseline, and cleans up deployment artifacts for leaner release artifacts.
March 2025 monthly summary for Azure/Azure-Sentinel: Delivered a new CrowdStrike Falcon Endpoint Protection Data Connector to poll S3 via CCP, with defined event schemas and a Data Collection Rule to stream events to Log Analytics for enhanced security monitoring in Microsoft Sentinel. Added Validation Framework Enhancements to bolster validation processes and reliability across the repository. No major bugs fixed this month; focus was on stabilizing data ingestion and validation paths to reduce future incidents. Business impact: expanded data ingestion, improved threat visibility, faster investigations, and stronger governance of Sentinel configurations. Technologies/skills demonstrated: CrowdStrike CCP, S3 data ingestion, Data Collection Rules, Log Analytics integration, Azure Sentinel validation frameworks, and repository maintenance.
March 2025 monthly summary for Azure/Azure-Sentinel: Delivered a new CrowdStrike Falcon Endpoint Protection Data Connector to poll S3 via CCP, with defined event schemas and a Data Collection Rule to stream events to Log Analytics for enhanced security monitoring in Microsoft Sentinel. Added Validation Framework Enhancements to bolster validation processes and reliability across the repository. No major bugs fixed this month; focus was on stabilizing data ingestion and validation paths to reduce future incidents. Business impact: expanded data ingestion, improved threat visibility, faster investigations, and stronger governance of Sentinel configurations. Technologies/skills demonstrated: CrowdStrike CCP, S3 data ingestion, Data Collection Rules, Log Analytics integration, Azure Sentinel validation frameworks, and repository maintenance.
February 2025 – Azure/Azure-Sentinel: Delivered two features, fixed a YAML display issue, and strengthened data reliability. Key outcomes include improved KQL testing reliability, enhanced data retrieval robustness, and clearer event descriptions.
February 2025 – Azure/Azure-Sentinel: Delivered two features, fixed a YAML display issue, and strengthened data reliability. Key outcomes include improved KQL testing reliability, enhanced data retrieval robustness, and clearer event descriptions.
January 2025: Delivered key connectivity and data ingestion enhancements for Azure-Sentinel with direct business value. Expanded packaging tooling to support Google Cloud Platform (GCP) and push connectors, updating PowerShell scripts to generate ARM templates and parameters for the new connector types, including authentication, endpoints, and resource configurations; also removed GCP support from the CCP Script to reduce maintenance overhead. Introduced Jamf Protect data connector to ingest alerts, unified logs, and telemetry, including data collection rules, connector configurations, and table schemas for comprehensive security monitoring. These updates shorten integration time for new data sources, improve telemetry coverage, and demonstrate strong capabilities in PowerShell automation, ARM templating, and data ingestion design.
January 2025: Delivered key connectivity and data ingestion enhancements for Azure-Sentinel with direct business value. Expanded packaging tooling to support Google Cloud Platform (GCP) and push connectors, updating PowerShell scripts to generate ARM templates and parameters for the new connector types, including authentication, endpoints, and resource configurations; also removed GCP support from the CCP Script to reduce maintenance overhead. Introduced Jamf Protect data connector to ingest alerts, unified logs, and telemetry, including data collection rules, connector configurations, and table schemas for comprehensive security monitoring. These updates shorten integration time for new data sources, improve telemetry coverage, and demonstrate strong capabilities in PowerShell automation, ARM templating, and data ingestion design.
December 2024 monthly summary for Azure/Azure-Sentinel: Delivered key feature enhancements and stability improvements across core connectors, with strong emphasis on data ingestion reliability and test coverage. New Auth0 Logs Connector introduced to improve extraction and analytics of Auth0 events. SentinelOne data parser and schema were enhanced with additional fields, better data type handling, and robust testing schemas to ensure data quality and reliable ingestion. Salesforce Sentinel Connector stability fixes addressed large payloads and zip file structure to ensure reliable operation under high-volume conditions. Cleanup effort removed an obsolete KQL script to reduce maintenance risk. These efforts collectively improve data reliability, reduce mean time to insight, and lower operational overhead.
December 2024 monthly summary for Azure/Azure-Sentinel: Delivered key feature enhancements and stability improvements across core connectors, with strong emphasis on data ingestion reliability and test coverage. New Auth0 Logs Connector introduced to improve extraction and analytics of Auth0 events. SentinelOne data parser and schema were enhanced with additional fields, better data type handling, and robust testing schemas to ensure data quality and reliable ingestion. Salesforce Sentinel Connector stability fixes addressed large payloads and zip file structure to ensure reliable operation under high-volume conditions. Cleanup effort removed an obsolete KQL script to reduce maintenance risk. These efforts collectively improve data reliability, reduce mean time to insight, and lower operational overhead.
In November 2024, the Azure-Sentinel project delivered meaningful platform enhancements and stability improvements for Azure Sentinel users. Key features delivered include the GCP firewall logs connector publishing, additional vendor integrations (Proofpoint, Salesforce, Cortex XDR, SentinelOne), and deployment improvements (zip packaging, GitHub publishing, and UI assets). Reliability and performance were improved through data workflow reorganization, column limit enforcement, and fixes for 32 KB data handling and polling configuration. These efforts broaden security coverage, streamline deployment, and reduce operational risk for customers. The month also included targeted metadata corrections and template/UI updates to ensure consistent configuration and branding across deployments. Skills demonstrated include cloud security integration, data processing optimization, and robust release engineering.
In November 2024, the Azure-Sentinel project delivered meaningful platform enhancements and stability improvements for Azure Sentinel users. Key features delivered include the GCP firewall logs connector publishing, additional vendor integrations (Proofpoint, Salesforce, Cortex XDR, SentinelOne), and deployment improvements (zip packaging, GitHub publishing, and UI assets). Reliability and performance were improved through data workflow reorganization, column limit enforcement, and fixes for 32 KB data handling and polling configuration. These efforts broaden security coverage, streamline deployment, and reduce operational risk for customers. The month also included targeted metadata corrections and template/UI updates to ensure consistent configuration and branding across deployments. Skills demonstrated include cloud security integration, data processing optimization, and robust release engineering.
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