
David Itkin developed and enhanced security analytics and deployment automation for the Azure/Azure-Sentinel repository, focusing on BloodHound Enterprise integration. He engineered data connectors and dynamic scheduling for Azure Functions, improving ingestion reliability and deployment flexibility. Using Go and TypeScript, David refactored backend data processing, streamlined packaging with Makefile automation, and aligned metadata for marketplace readiness. He improved authentication in SpecterOps/AzureHound by implementing Azure Managed Identity support and modularizing the authentication flow. His work addressed data fidelity, audit log visibility, and cross-repository governance, resulting in more robust threat detection, simplified deployments, and maintainable code across cloud security and analytics solutions.
February 2025 monthly summary focusing on feature delivery, bug fixes, and authentication improvements across Azure/Azure-Sentinel and SpecterOps/AzureHound. Emphasizes business value, deployment reliability, and security posture with cross-repo collaboration.
February 2025 monthly summary focusing on feature delivery, bug fixes, and authentication improvements across Azure/Azure-Sentinel and SpecterOps/AzureHound. Emphasizes business value, deployment reliability, and security posture with cross-repo collaboration.
January 2025 monthly summary for Azure/Azure-Sentinel: Key work centered on adding configurable data collection scheduling and packaging/metadata improvements to support deployment reliability and marketplace readiness.
January 2025 monthly summary for Azure/Azure-Sentinel: Key work centered on adding configurable data collection scheduling and packaging/metadata improvements to support deployment reliability and marketplace readiness.
December 2024 delivered data fidelity, deployment reliability, and analytics enhancements for Azure-Sentinel. Highlights include mapping/aggregation improvements for path titles in finding_export, comprehensive audit log UI upgrades with flexible time ranges and full event-type coverage, and significant backend data improvements for Tier0 data retrieval and principal lookups. Deployment tooling was streamlined via Function App zip deployment updates and inclusion of functions in deploy zips. Quality and reliability were boosted through exposure correctness fixes, standardized queries, and reduced log noise. Overall, these efforts improved threat detection accuracy, faster investigations, and more predictable release cycles.
December 2024 delivered data fidelity, deployment reliability, and analytics enhancements for Azure-Sentinel. Highlights include mapping/aggregation improvements for path titles in finding_export, comprehensive audit log UI upgrades with flexible time ranges and full event-type coverage, and significant backend data improvements for Tier0 data retrieval and principal lookups. Deployment tooling was streamlined via Function App zip deployment updates and inclusion of functions in deploy zips. Quality and reliability were boosted through exposure correctness fixes, standardized queries, and reduced log noise. Overall, these efforts improved threat detection accuracy, faster investigations, and more predictable release cycles.
November 2024 (Azure/Azure-Sentinel) delivered measurable business value through packaging automation, ingestion efficiency, and governance-aligned repo modernization. Key packaging and deployment work established end-to-end ZIP tooling for funcapp and templates, enabling reliable builds and simplified rollouts. Ingest cadence optimization reduced unnecessary processing by persisting and reusing last ingest/analysis times. UTC timezone alignment for BEH parameters ensured consistent time handling across environments. Added scheduling to run connectors twice daily, improving data freshness. Executed a major migration and version upgrade to align with Azure-Sentinel, updating deployment artifacts and schema references (2.x→4.x) and migrating sources from DavidItkin to Azure/Azure-Sentinel, reducing fragmentation and risk. These efforts demonstrated proficiency in build tooling, data engineering, time-zone normalization, scheduling, and cross-repo governance.
November 2024 (Azure/Azure-Sentinel) delivered measurable business value through packaging automation, ingestion efficiency, and governance-aligned repo modernization. Key packaging and deployment work established end-to-end ZIP tooling for funcapp and templates, enabling reliable builds and simplified rollouts. Ingest cadence optimization reduced unnecessary processing by persisting and reusing last ingest/analysis times. UTC timezone alignment for BEH parameters ensured consistent time handling across environments. Added scheduling to run connectors twice daily, improving data freshness. Executed a major migration and version upgrade to align with Azure-Sentinel, updating deployment artifacts and schema references (2.x→4.x) and migrating sources from DavidItkin to Azure/Azure-Sentinel, reducing fragmentation and risk. These efforts demonstrated proficiency in build tooling, data engineering, time-zone normalization, scheduling, and cross-repo governance.
2024-10 Monthly Summary for Azure/Azure-Sentinel: Delivered key security analytics features, enhanced data quality, and established centralized ingestion for BloodHound Enterprise. Implemented new BloodHound Enterprise analysis workbooks and ensured their discoverability, extended the event logging schema for richer auditing, and launched a BloodHound Enterprise Azure Sentinel data connector with Function App-based ingestion. Note: initial connector currently duplicates log records due to missing persisted timestamp; mitigation planned in upcoming sprint.
2024-10 Monthly Summary for Azure/Azure-Sentinel: Delivered key security analytics features, enhanced data quality, and established centralized ingestion for BloodHound Enterprise. Implemented new BloodHound Enterprise analysis workbooks and ensured their discoverability, extended the event logging schema for richer auditing, and launched a BloodHound Enterprise Azure Sentinel data connector with Function App-based ingestion. Note: initial connector currently duplicates log records due to missing persisted timestamp; mitigation planned in upcoming sprint.

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