
Andrey Budilovskiy enhanced threat analytics and dashboards for the Azure/Azure-Sentinel repository, focusing on the Azure Cloud NGFW workbook. He refined KQL queries and refactored JSON parsing to extract granular telemetry such as SourceIP, DestinationIP, and Application, improving threat data visibility and incident response. Andrey also cleaned up workbook configurations by removing deprecated fallbackResourceIds and updated documentation links for better data integrity and navigation. Leveraging skills in Azure Sentinel, Kusto Query Language, and log analysis, his work provided more accurate threat categorization and actionable insights, demonstrating a strong grasp of cloud security engineering and disciplined configuration management practices.

January 2025: Delivered enhanced threat analytics and dashboards for Azure Cloud NGFW in Azure Sentinel, leveraging a JSON parsing refactor to extract granular telemetry and updated KQL queries for improved threat hunting and security monitoring. Performed a clean-up of the NGFW workbook configuration, removing deprecated fallbackResourceIds and correcting the release notes URL to the main branch, improving data integrity and user navigation. These changes reduce noise, accelerate incident response, and demonstrate strong data governance and release discipline.
January 2025: Delivered enhanced threat analytics and dashboards for Azure Cloud NGFW in Azure Sentinel, leveraging a JSON parsing refactor to extract granular telemetry and updated KQL queries for improved threat hunting and security monitoring. Performed a clean-up of the NGFW workbook configuration, removing deprecated fallbackResourceIds and correcting the release notes URL to the main branch, improving data integrity and user navigation. These changes reduce noise, accelerate incident response, and demonstrate strong data governance and release discipline.
December 2024: Delivered a focused enhancement to the Azure Cloud NGFW workbook in Azure Sentinel to improve threat data visibility. The work included refining KQL queries for more granular categorization and displaying network threat data with higher fidelity, and parsing JSON threat fields (URL categories, threat types, severity) to provide accurate, actionable insights for faster incident response. A focused workbook update was implemented and committed (d3568f1c8e1450459d59339a9ee51fa1b5c7a47a).
December 2024: Delivered a focused enhancement to the Azure Cloud NGFW workbook in Azure Sentinel to improve threat data visibility. The work included refining KQL queries for more granular categorization and displaying network threat data with higher fidelity, and parsing JSON threat fields (URL categories, threat types, severity) to provide accurate, actionable insights for faster incident response. A focused workbook update was implemented and committed (d3568f1c8e1450459d59339a9ee51fa1b5c7a47a).
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