Over nine months, Daniel contributed to the xsoar-contrib/content repository by building and enhancing data ingestion, normalization, and security analytics packs for platforms such as Trellix, Proofpoint, Microsoft, and Cisco. He engineered robust log parsing and modeling solutions using Python, YAML, and Splunk SPL, focusing on mapping diverse security event data to the Cortex XDM schema. Daniel’s work included developing integration packs, refining schema mappings, and improving documentation to streamline deployment and operational reliability. His technical approach emphasized data quality, schema compliance, and automation, resulting in more accurate, actionable security insights and reduced manual effort for security operations teams.
September 2025 monthly summary for xsoar-contrib/content: Delivered Cisco UCM integration pack enabling log ingestion, parsing, and modeling for Cisco Unified Communications Manager, with configuration guidance to forward logs to the Cortex XSIAM Broker VM. This work establishes end-to-end data flow for analysis and improves operational visibility and security monitoring of UC infrastructure.
September 2025 monthly summary for xsoar-contrib/content: Delivered Cisco UCM integration pack enabling log ingestion, parsing, and modeling for Cisco Unified Communications Manager, with configuration guidance to forward logs to the Cortex XSIAM Broker VM. This work establishes end-to-end data flow for analysis and improves operational visibility and security monitoring of UC infrastructure.
July 2025 monthly work summary for xsoar-contrib/content focusing on delivering two new packs to enhance log ingestion and normalization into XDM/Cortex XSIAM, with comprehensive configuration guidance and README documentation to improve onboarding and operational reliability.
July 2025 monthly work summary for xsoar-contrib/content focusing on delivering two new packs to enhance log ingestion and normalization into XDM/Cortex XSIAM, with comprehensive configuration guidance and README documentation to improve onboarding and operational reliability.
May 2025: Delivered multiple data ingestion and normalization enhancements across Google Cloud, Proofpoint, Microsoft Entra/Graph, and Windows events, plus a critical bug fix. Improvements strengthen cloud visibility, data accuracy, and content analytics, with release notes documenting Cortex Data Model mappings and payload enrichment to support security operations.
May 2025: Delivered multiple data ingestion and normalization enhancements across Google Cloud, Proofpoint, Microsoft Entra/Graph, and Windows events, plus a critical bug fix. Improvements strengthen cloud visibility, data accuracy, and content analytics, with release notes documenting Cortex Data Model mappings and payload enrichment to support security operations.
April 2025 monthly summary for xsoar-contrib/content. Key deliverable: Nasuni File Services Pack for Cortex XSIAM ingestion and parsing, enabling volume audit log ingestion and mapping Nasuni events to the XDM schema with modeling and parsing rules; includes configuration guidance for Nasuni and the Broker VM to streamline deployment. Major bug fix: Microsoft Entra ID parsing rule adjusted with improved XDM mapping to enhance data model compliance and data ingestion reliability. Release notes and Cortex Data Model mappings updated to reflect these improvements. Overall impact: stronger security analytics posture, improved data quality, and faster onboarding of Nasuni logs into Cortex XSIAM. Technologies/skills demonstrated: Cortex XSIAM, XDM data model, log parsing rules, pack development, deployment configuration, release management.
April 2025 monthly summary for xsoar-contrib/content. Key deliverable: Nasuni File Services Pack for Cortex XSIAM ingestion and parsing, enabling volume audit log ingestion and mapping Nasuni events to the XDM schema with modeling and parsing rules; includes configuration guidance for Nasuni and the Broker VM to streamline deployment. Major bug fix: Microsoft Entra ID parsing rule adjusted with improved XDM mapping to enhance data model compliance and data ingestion reliability. Release notes and Cortex Data Model mappings updated to reflect these improvements. Overall impact: stronger security analytics posture, improved data quality, and faster onboarding of Nasuni logs into Cortex XSIAM. Technologies/skills demonstrated: Cortex XSIAM, XDM data model, log parsing rules, pack development, deployment configuration, release management.
March 2025 Monthly Summary for xsoar-contrib/content focusing on data ingestion, mapping, and content tagging features, along with release notes and mapping improvements across several integrations. The month emphasizes concrete deliverables with traceable commits and improved data quality for security and compliance use cases.
March 2025 Monthly Summary for xsoar-contrib/content focusing on data ingestion, mapping, and content tagging features, along with release notes and mapping improvements across several integrations. The month emphasizes concrete deliverables with traceable commits and improved data quality for security and compliance use cases.
February 2025 monthly summary for xsoar-contrib/content. Focused on delivering improved data ingestion, normalization, and security telemetry across key datasets, with three high-impact outcomes: 1) Microsoft Entra ID log parsing and modeling rules improvements for msft_azure_raw; 2) Check Point Firewall proto field conversion fix for check_point_smartdefense_raw; 3) Defender for Cloud integration: Azure Defender for IoT XDM schema updates to enrich security event information in the Cortex Data Model. These changes enhance extraction accuracy (IPs, users, outcomes), timestamp parsing, data consistency, and data normalization, enabling faster detection and more reliable investigations. Business value includes higher data quality, reduced manual normalization, and improved downstream analytics.
February 2025 monthly summary for xsoar-contrib/content. Focused on delivering improved data ingestion, normalization, and security telemetry across key datasets, with three high-impact outcomes: 1) Microsoft Entra ID log parsing and modeling rules improvements for msft_azure_raw; 2) Check Point Firewall proto field conversion fix for check_point_smartdefense_raw; 3) Defender for Cloud integration: Azure Defender for IoT XDM schema updates to enrich security event information in the Cortex Data Model. These changes enhance extraction accuracy (IPs, users, outcomes), timestamp parsing, data consistency, and data normalization, enabling faster detection and more reliable investigations. Business value includes higher data quality, reduced manual normalization, and improved downstream analytics.
January 2025 monthly summary for xsoar-contrib/content. Delivered three key deliverables that enhance data fidelity, security visibility, and normalization to Cortex XDM, enabling faster incident analysis and better decision-making. Focused on correcting data mapping, expanding log ingestion rules, and updating documentation to reflect changes.
January 2025 monthly summary for xsoar-contrib/content. Delivered three key deliverables that enhance data fidelity, security visibility, and normalization to Cortex XDM, enabling faster incident analysis and better decision-making. Focused on correcting data mapping, expanding log ingestion rules, and updating documentation to reflect changes.
December 2024 monthly summary for xsoar-contrib/content. Focused on delivering new data ingestion and modeling capabilities, improving parsing accuracy and time-to-investigate for security events, and ensuring release-ready documentation. Key features delivered include Proofpoint CASB ingestion and modeling improvements, Zscaler NSS firewall logs integration, and Windows Events modeling enhancements. These efforts improved data visibility, reduced investigation time, and strengthened security analytics across the NSS and Windows event domains. Technologies demonstrated include data ingestion pipelines, timestamp parsing, event mapping, and thorough documentation.
December 2024 monthly summary for xsoar-contrib/content. Focused on delivering new data ingestion and modeling capabilities, improving parsing accuracy and time-to-investigate for security events, and ensuring release-ready documentation. Key features delivered include Proofpoint CASB ingestion and modeling improvements, Zscaler NSS firewall logs integration, and Windows Events modeling enhancements. These efforts improved data visibility, reduced investigation time, and strengthened security analytics across the NSS and Windows event domains. Technologies demonstrated include data ingestion pipelines, timestamp parsing, event mapping, and thorough documentation.
Month: 2024-11 | Focused on delivering the Trellix ePO Pack for xsoar-contrib/content, enabling log ingestion, XML parsing, and XDM mapping for Trellix security events. The work included core implementation and providing configuration guidance for Trellix ePO and the Broker VM to enable end-to-end data collection and normalization.
Month: 2024-11 | Focused on delivering the Trellix ePO Pack for xsoar-contrib/content, enabling log ingestion, XML parsing, and XDM mapping for Trellix security events. The work included core implementation and providing configuration guidance for Trellix ePO and the Broker VM to enable end-to-end data collection and normalization.
Overview of all repositories you've contributed to across your timeline