
Aakshoti contributed to the xsoar-contrib/content repository by engineering robust data integrations and log processing features over eight months. They developed and refined modeling and parsing rules for diverse security platforms, including Celonis, Jira Data Center, and ProxySG, focusing on accurate data ingestion and normalization to the XDM schema. Using Python, YAML, and regular expressions, Aakshoti improved log extraction efficiency, enhanced metadata management, and ensured reliable analytics across SIEM and XSIAM environments. Their work included detailed documentation and release notes, demonstrating a thorough approach to maintainability and operational clarity. The solutions addressed data fidelity, onboarding speed, and cross-system consistency.

October 2025 performance summary for xsoar-contrib/content. Delivered three key features to enhance data modeling, metadata accuracy, and documentation, plus a critical parsing fix to improve log ingestion reliability. The work strengthens Cortex XSIAM data ingestion, aligns system metadata with current capabilities, and keeps Azure WAF content packs up-to-date with the latest portal navigation and log configurations. These efforts deliver clear business value through improved data quality, faster integration, and reduced support overhead.
October 2025 performance summary for xsoar-contrib/content. Delivered three key features to enhance data modeling, metadata accuracy, and documentation, plus a critical parsing fix to improve log ingestion reliability. The work strengthens Cortex XSIAM data ingestion, aligns system metadata with current capabilities, and keeps Azure WAF content packs up-to-date with the latest portal navigation and log configurations. These efforts deliver clear business value through improved data quality, faster integration, and reduced support overhead.
Month: 2025-09 — Delivered key data ingestion, parsing, and documentation improvements across the xsoar-contrib/content repository, enhancing SIEM readiness and data quality. Implemented mapping and parsing for Calico Secure Logs in XSIAM, extended modeling for Akamai WAF Native Collector, and refined log parsing rules for VMware NSX and Windows events. Updated Checkpoint Firewall deployment docs to support Auto-Detect. Fixed a ProxySG parsing bug with a targeted regex fix. Documentation updates accompany each change to ensure operational clarity. Overall, these changes improve data fidelity, reduce configuration toil, and accelerate security visibility and incident response.
Month: 2025-09 — Delivered key data ingestion, parsing, and documentation improvements across the xsoar-contrib/content repository, enhancing SIEM readiness and data quality. Implemented mapping and parsing for Calico Secure Logs in XSIAM, extended modeling for Akamai WAF Native Collector, and refined log parsing rules for VMware NSX and Windows events. Updated Checkpoint Firewall deployment docs to support Auto-Detect. Fixed a ProxySG parsing bug with a targeted regex fix. Documentation updates accompany each change to ensure operational clarity. Overall, these changes improve data fidelity, reduce configuration toil, and accelerate security visibility and incident response.
Month: 2025-08 — Delivered Jira Data Center Logs XDM Mapping for xsoar-contrib/content, introducing a DC-specific data pack, updated parsing to distinguish Jira DC from standard Jira events, and added modeling rules to align DC log data with the XDM schema. The work improves data ingestion accuracy, enables downstream analytics, and reduces manual normalization for Jira data across DC environments. This lays a scalable foundation for DC log analytics and cross-environment data consistency.
Month: 2025-08 — Delivered Jira Data Center Logs XDM Mapping for xsoar-contrib/content, introducing a DC-specific data pack, updated parsing to distinguish Jira DC from standard Jira events, and added modeling rules to align DC log data with the XDM schema. The work improves data ingestion accuracy, enables downstream analytics, and reduces manual normalization for Jira data across DC environments. This lays a scalable foundation for DC log analytics and cross-environment data consistency.
Month: 2025-07 — Delivered a key feature enhancement for ProxySG log parsing and modeling within the xsoar-contrib/content repository. Refactored field extraction from raw logs using regexcapture to improve efficiency, accuracy, and maintainability, and updated parsing and modeling rules to align with current data formats. These changes enhance data quality, reduce processing time, and support scalable ProxySG log analysis. Commit reference: a9bdb14bbde95976522cb10042a6e51963e39d35.
Month: 2025-07 — Delivered a key feature enhancement for ProxySG log parsing and modeling within the xsoar-contrib/content repository. Refactored field extraction from raw logs using regexcapture to improve efficiency, accuracy, and maintainability, and updated parsing and modeling rules to align with current data formats. These changes enhance data quality, reduce processing time, and support scalable ProxySG log analysis. Commit reference: a9bdb14bbde95976522cb10042a6e51963e39d35.
June 2025 focused on improving data fidelity and integration coverage in the content repository. Key deliverables include a Dropbox Event Collector Modeling Rule Enhancement with updated .xif parsing and event attribute mapping (user info, file details, IPs) and corresponding release notes; and a Trend Micro Vision One Modeling Rule data type casting fix to ensure severity is a string and numeric fields (ports, PIDs, file sizes) are parsed as integers, increasing data accuracy and system reliability. These changes collectively improve analytics accuracy, dashboards, and alerting.
June 2025 focused on improving data fidelity and integration coverage in the content repository. Key deliverables include a Dropbox Event Collector Modeling Rule Enhancement with updated .xif parsing and event attribute mapping (user info, file details, IPs) and corresponding release notes; and a Trend Micro Vision One Modeling Rule data type casting fix to ensure severity is a string and numeric fields (ports, PIDs, file sizes) are parsed as integers, increasing data accuracy and system reliability. These changes collectively improve analytics accuracy, dashboards, and alerting.
May 2025 monthly summary focusing on delivering new external log integrations to the XSIAM platform, expanding data coverage and improving incident visibility for security analytics.
May 2025 monthly summary focusing on delivering new external log integrations to the XSIAM platform, expanding data coverage and improving incident visibility for security analytics.
In April 2025, delivered two security data ingestion enhancements in the xsoar-contrib/content repository that improve data quality and enable faster threat detection. The LenelS2 NetBox Logs Integration adds modeling and parsing rules to standardize LenelS2 NetBox event data and includes a configuration README to simplify ingestion. The Enhanced IP Address Extraction in Microsoft Graph Security Modeling improves IPv4/IPv6 extraction accuracy and includes updated release notes. These changes reduce manual configuration, improve analytics reliability, and demonstrate strong collaboration, documentation, and release discipline.
In April 2025, delivered two security data ingestion enhancements in the xsoar-contrib/content repository that improve data quality and enable faster threat detection. The LenelS2 NetBox Logs Integration adds modeling and parsing rules to standardize LenelS2 NetBox event data and includes a configuration README to simplify ingestion. The Enhanced IP Address Extraction in Microsoft Graph Security Modeling improves IPv4/IPv6 extraction accuracy and includes updated release notes. These changes reduce manual configuration, improve analytics reliability, and demonstrate strong collaboration, documentation, and release discipline.
In March 2025, delivered Celonis Logs Integration with XDM Mapping for the xsoar-contrib/content repository. Introduced a new modeling rule and updated documentation to map Celonis event types (audit logs, platform adoption, login history) to the XDM schema, enabling consistent data ingestion and analytics. Commit 4ddb659289dc67d89a9e48b1baa5740772986575 (CRTX-157746) was applied as part of this work.
In March 2025, delivered Celonis Logs Integration with XDM Mapping for the xsoar-contrib/content repository. Introduced a new modeling rule and updated documentation to map Celonis event types (audit logs, platform adoption, login history) to the XDM schema, enabling consistent data ingestion and analytics. Commit 4ddb659289dc67d89a9e48b1baa5740772986575 (CRTX-157746) was applied as part of this work.
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