
Tomas Contreras engineered and maintained advanced security detection and dataset capabilities across the splunk/security_content and splunk/attack_data repositories, focusing on threat detection, data enrichment, and attack simulation. He developed and refined detection rules for ransomware, malware loaders, and evasion techniques, leveraging Python, YAML, and Splunk SPL to align with MITRE ATT&CK and improve incident response. His work included expanding Linux auditd and Windows event datasets, integrating new analytic modules, and enhancing metadata for more reliable analytics. By systematically closing detection gaps and standardizing data sources, Tomas delivered robust, maintainable solutions that improved threat visibility and operational efficiency for security teams.

October 2025: This period focused on expanding attack data coverage and hardening detections in the Splunk attack_data repo. Delivered three new Attack Range datasets with corresponding logs and YAML configurations, including DNS Query dataset for T1071.004, Private Profile dataset, and RDP Suspicious Default Creation dataset (T1021.001). Also implemented environment/organization improvements in m365_copilot.yml to categorize datasets within the attack_range environment. Addressed key detection gaps with multiple fixes (detection_fixed, det_fixes). These efforts increased detection coverage, streamlined onboarding of new datasets, and improved maintainability of attack_range configurations.
October 2025: This period focused on expanding attack data coverage and hardening detections in the Splunk attack_data repo. Delivered three new Attack Range datasets with corresponding logs and YAML configurations, including DNS Query dataset for T1071.004, Private Profile dataset, and RDP Suspicious Default Creation dataset (T1021.001). Also implemented environment/organization improvements in m365_copilot.yml to categorize datasets within the attack_range environment. Addressed key detection gaps with multiple fixes (detection_fixed, det_fixes). These efforts increased detection coverage, streamlined onboarding of new datasets, and improved maintainability of attack_range configurations.
September 2025: Strengthened detection coverage across AI platform interactions, ransomware scenarios, and OS-level process activity. Delivered refined and new detection rules in splunk/security_content with improved naming consistency, richer telemetry, and clearer incident response narratives, enabling faster detection and lower mean time to respond.
September 2025: Strengthened detection coverage across AI platform interactions, ransomware scenarios, and OS-level process activity. Delivered refined and new detection rules in splunk/security_content with improved naming consistency, richer telemetry, and clearer incident response narratives, enabling faster detection and lower mean time to respond.
August 2025 monthly summary focusing on feature delivery, security hardening, and dataset enrichment across two repositories (splunk/security_content and splunk/attack_data). The work delivered enhances threat data collection, evasion capabilities for testing, and security posture, with clear business value in improved detection coverage, safer attack simulations, and streamlined data management.
August 2025 monthly summary focusing on feature delivery, security hardening, and dataset enrichment across two repositories (splunk/security_content and splunk/attack_data). The work delivered enhances threat data collection, evasion capabilities for testing, and security posture, with clear business value in improved detection coverage, safer attack simulations, and streamlined data management.
July 2025 monthly performance summary for Splunk security-content and attack_data repositories focusing on delivering robust security data capabilities, ransomware detection improvements, and expanded attack_range coverage.
July 2025 monthly performance summary for Splunk security-content and attack_data repositories focusing on delivering robust security data capabilities, ransomware detection improvements, and expanded attack_range coverage.
June 2025 monthly performance summary focusing on delivering high-value security content updates, expanding detection coverage, and improving data fidelity across two repositories. Highlights include new Windows DNS/TinyURL detection, enhanced rule metadata tagging, Linux auditd data-source expansions, Disk Wiper narrative tagging, and broader attack-data coverage with updated datasets and configurations. Key fixes implemented to improve reliability of data capture in Linux auditd also contributed to overall stability.
June 2025 monthly performance summary focusing on delivering high-value security content updates, expanding detection coverage, and improving data fidelity across two repositories. Highlights include new Windows DNS/TinyURL detection, enhanced rule metadata tagging, Linux auditd data-source expansions, Disk Wiper narrative tagging, and broader attack-data coverage with updated datasets and configurations. Key fixes implemented to improve reliability of data capture in Linux auditd also contributed to overall stability.
May 2025 accomplishments include delivering expanded detection coverage across Splunk Security Content and Attack Data repositories, with new and updated rules for Inno Setup loader, XWorm, Windows renamed PowerShell, browser threats, and scheduled task detection, plus enriched Linux auditd and attack technique datasets. These changes improve threat visibility, reduce time-to-detection, and support the attack_range environment through richer metadata and YAML configurations. While no explicit bug fixes are reported, the work closes coverage gaps and strengthens monitoring capabilities across Windows, Linux, and browser threat surfaces.
May 2025 accomplishments include delivering expanded detection coverage across Splunk Security Content and Attack Data repositories, with new and updated rules for Inno Setup loader, XWorm, Windows renamed PowerShell, browser threats, and scheduled task detection, plus enriched Linux auditd and attack technique datasets. These changes improve threat visibility, reduce time-to-detection, and support the attack_range environment through richer metadata and YAML configurations. While no explicit bug fixes are reported, the work closes coverage gaps and strengthens monitoring capabilities across Windows, Linux, and browser threat surfaces.
April 2025 performance highlights: Delivered expanded detection coverage and data quality improvements across Splunk security content and ATT&CK datasets. Key work includes Windows firewall event sources standardization, ransomware/PowerShell detection rule refinements with MITRE alignment, Termite Ransomware integration, Linux auditd rule enhancements, and Linux ATT&CK datasets expansion. These efforts improve detection fidelity, reduce false positives, and broaden coverage for Linux and Windows techniques, enabling faster incident response and more reliable analytics.
April 2025 performance highlights: Delivered expanded detection coverage and data quality improvements across Splunk security content and ATT&CK datasets. Key work includes Windows firewall event sources standardization, ransomware/PowerShell detection rule refinements with MITRE alignment, Termite Ransomware integration, Linux auditd rule enhancements, and Linux ATT&CK datasets expansion. These efforts improve detection fidelity, reduce false positives, and broaden coverage for Linux and Windows techniques, enabling faster incident response and more reliable analytics.
March 2025 monthly summary for Splunk Security Content and Attack Data focused on delivering enhanced ransomware detection and expanded dataset coverage, while improving data quality and taxonomy alignment. Deliveries span detection rule development, data source expansions, and attack-range datasets that strengthen threat visibility, incident response, and analyst training across Windows, ProgramData, and remote service techniques.
March 2025 monthly summary for Splunk Security Content and Attack Data focused on delivering enhanced ransomware detection and expanded dataset coverage, while improving data quality and taxonomy alignment. Deliveries span detection rule development, data source expansions, and attack-range datasets that strengthen threat visibility, incident response, and analyst training across Windows, ProgramData, and remote service techniques.
February 2025 monthly summary: Delivered pivotal security monitoring and deployment improvements across two Splunk repositories. Key features include comprehensive AuditD detection updates, headless operation enhancements for the Bee component, and cross-repo SystemBC integration. Also expanded Linux auditd datasets to cover additional ATT&CK techniques and log files, including exec_susp_path2.log into the T1036 dataset. These efforts improved detection coverage, reliability of headless deployments, and cross-component orchestration, delivering faster incident detection, reduced operational toil, and a stronger security posture.
February 2025 monthly summary: Delivered pivotal security monitoring and deployment improvements across two Splunk repositories. Key features include comprehensive AuditD detection updates, headless operation enhancements for the Bee component, and cross-repo SystemBC integration. Also expanded Linux auditd datasets to cover additional ATT&CK techniques and log files, including exec_susp_path2.log into the T1036 dataset. These efforts improved detection coverage, reliability of headless deployments, and cross-component orchestration, delivering faster incident detection, reduced operational toil, and a stronger security posture.
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