splunk/attack_data
Sep 2025 – May 2026
5 Months active
Languages Used
CSVYAMLLogXMLPythontext
Technical Skills
Data AnalysisData EngineeringLog ManagementData ManagementWindows event loggingYAML configuration
Rod Soto
PROFILE
Rod Soto
Worked on the splunk/attack_data repository to deliver robust data engineering and security analytics features over five months. Developed and configured datasets for M365 Copilot usage, Windows event logging, and MCP server logs, focusing on structured data collection, observability, and compliance. Enhanced log management and metadata quality using YAML and Python scripting, and automated dataset workflows with GitHub Actions and Git LFS for large-scale storage. Integrated Splunk for advanced analysis and replay capabilities, supporting incident response and governance. Addressed data quality through targeted bug fixes and iterative improvements, demonstrating a methodical approach to data structuring, security auditing, and version control.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
20Total
Bugs
2
Commits
20
Features
7
Lines of code
39,192
Activity Months5
Your Network
128 peopleSame Organization
@splunk.com112
Work History
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for splunk/attack_data: Delivered automated Dataset Management workflows and storage optimization to enhance data handling and replay capabilities. Implemented NDJSON storage improvements using Git LFS to support large datasets. Added dataset analysis scripts and integrated with Splunk to improve dataset handling and replay capabilities. No user-facing bug fixes this month; a housekeeping placeholder commit was recorded as part of maintenance.
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for splunk/attack_data: Delivered automated Dataset Management workflows and storage optimization to enhance data handling and replay capabilities. Implemented NDJSON storage improvements using Git LFS to support large datasets. Added dataset analysis scripts and integrated with Splunk to improve dataset handling and replay capabilities. No user-facing bug fixes this month; a housekeeping placeholder commit was recorded as part of maintenance.
May 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: delivered foundational MCP server logs dataset configuration to enable structured data for training, monitoring, and analytics; establishes observability for MCP-enabled AI assistants and agents, enabling data-driven improvements.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: delivered foundational MCP server logs dataset configuration to enable structured data for training, monitoring, and analytics; establishes observability for MCP-enabled AI assistants and agents, enabling data-driven improvements.
November 2025
9 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary: Delivered two new and refined security data features in the splunk/attack_data repository, driving improved detection fidelity and faster investigations. Implemented a Windows Security Auditing Dataset focused on Process Creation (Event ID 4688) to better identify unexpected process launches and potential compromises. Added and refined the Suspicious Local LLM Frameworks Dataset, including YAML configuration, metadata schemas, dataset paths, and source links to support misuse detection and incident investigations. Executed a series of fixes across the LLM dataset (eight commits) to stabilize configuration, properties, and link resolution, improving data reliability and governance compliance. The work strengthens threat detection capabilities, accelerates incident response, and demonstrates robust data engineering practices in security domains.
9 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary: Delivered two new and refined security data features in the splunk/attack_data repository, driving improved detection fidelity and faster investigations. Implemented a Windows Security Auditing Dataset focused on Process Creation (Event ID 4688) to better identify unexpected process launches and potential compromises. Added and refined the Suspicious Local LLM Frameworks Dataset, including YAML configuration, metadata schemas, dataset paths, and source links to support misuse detection and incident investigations. Executed a series of fixes across the LLM dataset (eight commits) to stabilize configuration, properties, and link resolution, improving data reliability and governance compliance. The work strengthens threat detection capabilities, accelerates incident response, and demonstrates robust data engineering practices in security domains.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for splunk/attack_data focusing on data quality improvements and dataset expansion for improved observability and security analytics.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for splunk/attack_data focusing on data quality improvements and dataset expansion for improved observability and security analytics.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly performance summary for splunk/attack_data: Delivered foundational Copilot telemetry and analytics capabilities for M365 Copilot usage. Implemented two main features: (1) M365 Copilot Usage Data Logging and Configuration (copilot_prompts.log and m365_copilot_access.log) with configuration in m365_copilot.yml; (2) Copilot Usage Data Datasets capturing prompts, queries, file accesses, and admin actions across Microsoft 365 apps. This enables auditing, usage analytics, and cross-application visibility. No major bugs reported. Business value delivered includes improved observability, governance, and data-driven optimization of Copilot deployments.
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly performance summary for splunk/attack_data: Delivered foundational Copilot telemetry and analytics capabilities for M365 Copilot usage. Implemented two main features: (1) M365 Copilot Usage Data Logging and Configuration (copilot_prompts.log and m365_copilot_access.log) with configuration in m365_copilot.yml; (2) Copilot Usage Data Datasets capturing prompts, queries, file accesses, and admin actions across Microsoft 365 apps. This enables auditing, usage analytics, and cross-application visibility. No major bugs reported. Business value delivered includes improved observability, governance, and data-driven optimization of Copilot deployments.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness92.0%
Maintainability90.0%
Architecture89.0%
Performance91.0%
AI Usage23.0%
Skills & Technologies
Programming Languages
CSVLogPythonXMLYAMLtext
Technical Skills
AI integrationData AnalysisData EngineeringData ManagementGitHub ActionsLog ManagementPython scriptingSplunk integrationWindows event loggingYAMLYAML configurationYAML configuration managementYAML managementdata analysisdata configuration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline