
Nasreddine Bencherchali engineered and expanded security datasets and analytics across the splunk/attack_data and splunk/security_content repositories, focusing on threat detection, data integrity, and analyst workflow efficiency. He designed and maintained MITRE-aligned datasets, enhanced detection rules, and improved metadata governance using Python, YAML, and Splunk SPL. His work included developing new telemetry for Cisco Secure Firewall, refining log pipelines, and integrating advanced attack technique datasets. By emphasizing configuration management, code refactoring, and robust version control, Nasreddine ensured high-quality, maintainable data assets that accelerated incident response and security research, demonstrating depth in data engineering and security content development throughout the project lifecycle.

October 2025 monthly summary for splunk/attack_data focusing on delivering MITRE-aligned datasets, config hygiene, and cross-platform coverage. Key data improvements include new datasets across multiple techniques, standardized ingestion YAMLs, and metadata corrections to improve detection testing fidelity and analyst productivity. Business impact centers on higher data quality, faster experimentation, and scalable dataset extension to support security testing workflows.
October 2025 monthly summary for splunk/attack_data focusing on delivering MITRE-aligned datasets, config hygiene, and cross-platform coverage. Key data improvements include new datasets across multiple techniques, standardized ingestion YAMLs, and metadata corrections to improve detection testing fidelity and analyst productivity. Business impact centers on higher data quality, faster experimentation, and scalable dataset extension to support security testing workflows.
July 2025 monthly summary for splunk/attack_data: Focus on Network Visibility Module (NVM) data updates and log metadata for Threat Defense dataset. Key outcomes include consolidated NVM data updates across multiple commits, alignment of oids/sizes with new data versions, and metadata refresh for the Threat Defense dataset to reflect a new log version. These changes improve data quality, versioning, and readiness for threat-hunting workflows.
July 2025 monthly summary for splunk/attack_data: Focus on Network Visibility Module (NVM) data updates and log metadata for Threat Defense dataset. Key outcomes include consolidated NVM data updates across multiple commits, alignment of oids/sizes with new data versions, and metadata refresh for the Threat Defense dataset to reflect a new log version. These changes improve data quality, versioning, and readiness for threat-hunting workflows.
June 2025 monthly summary for splunk/attack_data: Delivered data-layer enhancements and new telemetry for improved detection and analytics. Implemented robust log-data updates to ensure detection pipelines leverage the latest datasets across WebDAV, Windows Security, and Google Drive external logs. Added Cisco NVM flow data integration with updated LFS pointers to reflect current data, enabling richer flow-analysis and threat visibility. These workstreams reduced data drift, strengthened telemetry reliability, and laid groundwork for deeper security investigations.
June 2025 monthly summary for splunk/attack_data: Delivered data-layer enhancements and new telemetry for improved detection and analytics. Implemented robust log-data updates to ensure detection pipelines leverage the latest datasets across WebDAV, Windows Security, and Google Drive external logs. Added Cisco NVM flow data integration with updated LFS pointers to reflect current data, enabling richer flow-analysis and threat visibility. These workstreams reduced data drift, strengthened telemetry reliability, and laid groundwork for deeper security investigations.
May 2025 monthly summary for splunk/attack_data focusing on delivering Cisco Threat Defense Connection Events Dataset Refresh and dataset enrichment.
May 2025 monthly summary for splunk/attack_data focusing on delivering Cisco Threat Defense Connection Events Dataset Refresh and dataset enrichment.
Apr 2025 monthly summary for splunk/attack_data: Delivered three Cisco Secure Firewall Threat Defense datasets (connection events, file events, intrusion events) with corresponding logs and YAML metadata, plus metadata/content updates to support analysis of firewall, file, and intrusion activity. Expanded coverage with new event types (curl, wget, multi-malware downloads, Amos Stealer VM check) and added a fake EVE_ThreatConfidencePct log, along with updates to the wevtutil log. These efforts improve data completeness, consistency, and analytics readiness, enabling SOC teams to better detect, correlate, and investigate threats with richer context. Demonstrated strong data engineering, YAML-driven configuration, and end-to-end provenance from commits to production-ready datasets, supporting faster detection and informed risk decisions.
Apr 2025 monthly summary for splunk/attack_data: Delivered three Cisco Secure Firewall Threat Defense datasets (connection events, file events, intrusion events) with corresponding logs and YAML metadata, plus metadata/content updates to support analysis of firewall, file, and intrusion activity. Expanded coverage with new event types (curl, wget, multi-malware downloads, Amos Stealer VM check) and added a fake EVE_ThreatConfidencePct log, along with updates to the wevtutil log. These efforts improve data completeness, consistency, and analytics readiness, enabling SOC teams to better detect, correlate, and investigate threats with richer context. Demonstrated strong data engineering, YAML-driven configuration, and end-to-end provenance from commits to production-ready datasets, supporting faster detection and informed risk decisions.
February 2025 accomplishments across splunk/contentctl and splunk/attack_data focused on CLI reliability, clearer validation feedback, and expanded test data for security workflows. Key outcomes include a bug fix for Subcommand case-sensitivity in Contentctl, improved per-file validation error reporting with Director, and the addition of a Telegram API CLI dataset for Attack Range, all delivering measurable improvements in user experience, developer productivity, and testing coverage.
February 2025 accomplishments across splunk/contentctl and splunk/attack_data focused on CLI reliability, clearer validation feedback, and expanded test data for security workflows. Key outcomes include a bug fix for Subcommand case-sensitivity in Contentctl, improved per-file validation error reporting with Director, and the addition of a Telegram API CLI dataset for Attack Range, all delivering measurable improvements in user experience, developer productivity, and testing coverage.
January 2025 monthly summary for splunk/attack_data: Delivered three feature-driven dataset expansions to strengthen threat research coverage and detection fidelity. Implementations include: Cisco Secure Endpoint tampering dataset expansion with a new dataset, metadata/config and log file, plus an additional log for service stopping actions (T1562.001); Windows Sysmon, PowerShell, and related datasets updates to synchronize content and pointers for T1003.002 and T1016; AuditPol tampering dataset expansion with YAML metadata, multiple log sources, updated OIDs and events (T1562.002). These changes improve data quality, coverage, and maintainability, enabling faster threat hunts and more reliable analytics. The work demonstrates end-to-end data engineering: dataset design, metadata modeling, data enrichment, and cross-technique alignment across ATT&CK techniques.
January 2025 monthly summary for splunk/attack_data: Delivered three feature-driven dataset expansions to strengthen threat research coverage and detection fidelity. Implementations include: Cisco Secure Endpoint tampering dataset expansion with a new dataset, metadata/config and log file, plus an additional log for service stopping actions (T1562.001); Windows Sysmon, PowerShell, and related datasets updates to synchronize content and pointers for T1003.002 and T1016; AuditPol tampering dataset expansion with YAML metadata, multiple log sources, updated OIDs and events (T1562.002). These changes improve data quality, coverage, and maintainability, enabling faster threat hunts and more reliable analytics. The work demonstrates end-to-end data engineering: dataset design, metadata modeling, data enrichment, and cross-technique alignment across ATT&CK techniques.
December 2024 performance highlights for Splunk attack_data and Splunk security_content repositories. Delivered richer security datasets and analytic capabilities while tightening data integrity and metadata governance—driving improved analyst efficiency and stronger defense against evasion techniques. In attack_data, introduced a comprehensive Security Technique Datasets Release with Sysmon logs and metadata for T1222.001, T1562.002, T1564, and T1569.002, plus a new dotnet_etw_bypass dataset; updated Git LFS metadata to prevent drift across Sysmon/log datasets; and implemented data referencing corrections to ensure accurate data organization. In security_content, enhanced certutil.exe usage detection analytics, introduced ETW disable detection analytics, and added Windows AutoLogger disable detection analytics; completed routine maintenance to YAML/metadata files for consistency. These efforts collectively expand detection coverage, improve data fidelity, and accelerate incident response workflows. Technologies demonstrated include Sysmon, Windows Event Tracing for Windows (ETW), .NET ETW, CertUtil analytics, LOLBAS-network context, Git LFS, and YAML/metadata governance.
December 2024 performance highlights for Splunk attack_data and Splunk security_content repositories. Delivered richer security datasets and analytic capabilities while tightening data integrity and metadata governance—driving improved analyst efficiency and stronger defense against evasion techniques. In attack_data, introduced a comprehensive Security Technique Datasets Release with Sysmon logs and metadata for T1222.001, T1562.002, T1564, and T1569.002, plus a new dotnet_etw_bypass dataset; updated Git LFS metadata to prevent drift across Sysmon/log datasets; and implemented data referencing corrections to ensure accurate data organization. In security_content, enhanced certutil.exe usage detection analytics, introduced ETW disable detection analytics, and added Windows AutoLogger disable detection analytics; completed routine maintenance to YAML/metadata files for consistency. These efforts collectively expand detection coverage, improve data fidelity, and accelerate incident response workflows. Technologies demonstrated include Sysmon, Windows Event Tracing for Windows (ETW), .NET ETW, CertUtil analytics, LOLBAS-network context, Git LFS, and YAML/metadata governance.
November 2024 monthly summary for splunk/security_content: Focused on improving security content tagging, messaging accuracy, and threat intel references within the repository. Delivered a feature to enhance content tagging and detection messaging, with small-but-critical typo fixes to improve clarity and maintainability. Resulted in better threat hunting efficiency and more organized detections, especially around Lumma Stealer.
November 2024 monthly summary for splunk/security_content: Focused on improving security content tagging, messaging accuracy, and threat intel references within the repository. Delivered a feature to enhance content tagging and detection messaging, with small-but-critical typo fixes to improve clarity and maintainability. Resulted in better threat hunting efficiency and more organized detections, especially around Lumma Stealer.
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