Azure/Azure-Sentinel
Jan 2025 – Oct 2025
5 Months active
Languages Used
MarkdownPythonYAMLJSONTypeScriptKQLkqlyaml
Technical Skills
Azure SentinelBug FixingConfiguration ManagementData ParsingDocumentationSchema Management
Varun Kohli
PROFILE
Varun Kohli
Vakohl contributed to the Azure/Azure-Sentinel repository by engineering advanced data connectors, security analytics, and compliance workbooks that streamline onboarding, detection, and reporting for cloud security operations. Leveraging Python, TypeScript, and Kusto Query Language, Vakohl redesigned AWS Route 53 data ingestion, enhanced anomaly detection and validation logic, and developed GDPR compliance workbooks that aggregate and visualize security and compliance data. Their work included parser improvements, metadata management, and deployment automation using ARM and CloudFormation templates. By focusing on data quality, maintainability, and cross-platform integration, Vakohl delivered robust solutions that improved alert reliability, accelerated investigation workflows, and strengthened data governance.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
109Total
Bugs
14
Commits
109
Features
46
Lines of code
25,621
Activity Months5
Your Network
4355 people
Work History
October 2025
6 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for Azure/Azure-Sentinel: Implemented GDPR Compliance and Data Security Workbook core feature that consolidates data from multiple security and compliance sources to support GDPR monitoring, extended workbook capabilities with metadata management, preview images and assets to improve discoverability and presentation, and added Microsoft 365 activity monitoring to strengthen GDPR data integrity and processing records. A UI label cleanup reduced confusion by removing obsolete EntraID Identity Protection references.
6 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for Azure/Azure-Sentinel: Implemented GDPR Compliance and Data Security Workbook core feature that consolidates data from multiple security and compliance sources to support GDPR monitoring, extended workbook capabilities with metadata management, preview images and assets to improve discoverability and presentation, and added Microsoft 365 activity monitoring to strengthen GDPR data integrity and processing records. A UI label cleanup reduced confusion by removing obsolete EntraID Identity Protection references.
October 2025
June 2025
74 Commits • 33 Features
Jun 1, 2025June 2025 performance summary for Azure/Azure-Sentinel focusing on delivering a robust workbook experience, improved data quality, and extended parser/data-management capabilities to accelerate detection, investigation, and remediation workflows.
June 2025
74 Commits • 33 Features
Jun 1, 2025June 2025 performance summary for Azure/Azure-Sentinel focusing on delivering a robust workbook experience, improved data quality, and extended parser/data-management capabilities to accelerate detection, investigation, and remediation workflows.
May 2025
15 Commits • 3 Features
May 1, 2025May 2025 monthly summary for Azure/Azure-Sentinel: Delivered major data connector enhancements, cross-platform ingestion improvements, and network analytics optimizations, with a focus on onboarding, data quality, and business value.
15 Commits • 3 Features
May 1, 2025May 2025 monthly summary for Azure/Azure-Sentinel: Delivered major data connector enhancements, cross-platform ingestion improvements, and network analytics optimizations, with a focus on onboarding, data quality, and business value.
May 2025
March 2025
6 Commits • 3 Features
Mar 1, 2025March 2025 performance summary for Azure/Azure-Sentinel: Delivered three core capabilities to improve data visibility, authentication security, and SOC analytics, with deployment templates and documentation updates. Key features include: AWS Route 53 DNS data connector for Microsoft Sentinel (ingest Route 53 DNS logs and related data; guidance for ingestion of Route 53 Resolver logs, Public Hosted zones query logs, and audit logs; deployment via CloudFormation and ARM templates; documentation updates); OpenID Connect authentication provider (OIDCWebIdProvider) to handle OpenID Connect authentication and web identity provider interactions; Azure Sentinel security analytics enhancements featuring new summary rule configurations for Zscaler DNS/Network, Fortinet Fortigate Network/Web, and Palo Alto PAN-OS Network/Web to aggregate hourly security events from CommonSecurityLog data. Minor fixes to documentation (typos, hyperlinks, file names).
March 2025
6 Commits • 3 Features
Mar 1, 2025March 2025 performance summary for Azure/Azure-Sentinel: Delivered three core capabilities to improve data visibility, authentication security, and SOC analytics, with deployment templates and documentation updates. Key features include: AWS Route 53 DNS data connector for Microsoft Sentinel (ingest Route 53 DNS logs and related data; guidance for ingestion of Route 53 Resolver logs, Public Hosted zones query logs, and audit logs; deployment via CloudFormation and ARM templates; documentation updates); OpenID Connect authentication provider (OIDCWebIdProvider) to handle OpenID Connect authentication and web identity provider interactions; Azure Sentinel security analytics enhancements featuring new summary rule configurations for Zscaler DNS/Network, Fortinet Fortigate Network/Web, and Palo Alto PAN-OS Network/Web to aggregate hourly security events from CommonSecurityLog data. Minor fixes to documentation (typos, hyperlinks, file names).
January 2025
8 Commits • 2 Features
Jan 1, 2025During Jan 2025, delivered robust ASIM parser enhancements and stabilizing fixes for Azure Sentinel, strengthening data-source resilience, workflow reliability, and testing infrastructure. The work focused on three areas: Native ASIM Parser Improvements, Bug Fixes, and Maintenance/Documentation Updates. Key features delivered: - Native ASIM Parser Improvements: Removed hardcoded EventVendor/EventProduct mappings, introduced explicit handling with defaults for native tables (defaulting to NativeTable and Microsoft), improving robustness across data sources. - Maintenance and Documentation Improvements for ASIM Parser: Renamed sample data files to align with new naming conventions, added a new Summary rules README directory, and tightened test infrastructure by improving sys.path handling in tests. Major bugs fixed: - Filter Script Robustness Bug Fix: Resolved a workflow failure caused by parsers listed in the exclusion file and refined handling for single failure scenarios by adding a continue. Overall impact and accomplishments: - Reduced parsing errors and workflow failures, improved maintainability, and strengthened data-source resilience, enabling more reliable alerts and faster onboarding of new data sources. Technologies/skills demonstrated: - Python-based parser/config management, improved test infrastructure, documentation best practices, and adherence to naming conventions and defaults to boost robustness.
8 Commits • 2 Features
Jan 1, 2025During Jan 2025, delivered robust ASIM parser enhancements and stabilizing fixes for Azure Sentinel, strengthening data-source resilience, workflow reliability, and testing infrastructure. The work focused on three areas: Native ASIM Parser Improvements, Bug Fixes, and Maintenance/Documentation Updates. Key features delivered: - Native ASIM Parser Improvements: Removed hardcoded EventVendor/EventProduct mappings, introduced explicit handling with defaults for native tables (defaulting to NativeTable and Microsoft), improving robustness across data sources. - Maintenance and Documentation Improvements for ASIM Parser: Renamed sample data files to align with new naming conventions, added a new Summary rules README directory, and tightened test infrastructure by improving sys.path handling in tests. Major bugs fixed: - Filter Script Robustness Bug Fix: Resolved a workflow failure caused by parsers listed in the exclusion file and refined handling for single failure scenarios by adding a continue. Overall impact and accomplishments: - Reduced parsing errors and workflow failures, improved maintainability, and strengthened data-source resilience, enabling more reliable alerts and faster onboarding of new data sources. Technologies/skills demonstrated: - Python-based parser/config management, improved test infrastructure, documentation best practices, and adherence to naming conventions and defaults to boost robustness.
January 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.2%
Architecture90.2%
Performance89.0%
AI Usage20.2%
Skills & Technologies
Programming Languages
CSVGoJSONKQLMarkdownPowerShellPythonTypeScriptYAMLkql
Technical Skills
ARM TemplatesAWSAWS Route 53AuthenticationAzureAzure SentinelBackend DevelopmentBug FixingCloud SecurityCloudFormationConfiguration ManagementDNS SecurityData AggregationData AnalysisData Cleaning
Repositories Contributed To
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