Terrance Dejesus is a Senior Security Research Engineer with over a decade of hands-on experience that began in MSSP SOC work in 2013 and evolved into specialized threat hunting, malware analysis, and detection engineering. He currently researches threats and builds detection capabilities at Elastic, contributing security-focused enhancements to high-profile open-source projects like Kibana and the detection-rules engine. Previously he built a proprietary modular backend for global cyber threat hunting at NTT, blending offensive and defensive expertise with automation, dynamic malware analysis, and DevOps integration. Known for translating deep technical research into production-ready detection content, he bridges research, engineering, and operational needs to accelerate incident detection and response. Based in Massillon, Ohio, he pairs a forensic IT background with an appetite for building scalable detection frameworks that reduce manual triage.
4 years of coding experience
1 year of employment as a software developer
Advanced Academic Diploma, Advanced Academic Diploma at Jamestown High School
Associate of Science (A.S.), Information Technology Network Security and Forensics, Associate of Science (A.S.), Information Technology Network Security and Forensics at Pittsburgh Technical College
Contributions:1 release, 1695 reviews, 342 commits in 10 months
Contributions summary:Terrance primarily contributed to the development and maintenance of the detection rules engine. Their work focused on preparing for and implementing changes related to supporting different versions and branches of the project, including 8.3, 8.4, 8.5, 8.6, and 8.7. This involved modifying schemas, updating packages, and adjusting workflows, suggesting a significant role in managing the project's structure and evolution. They also worked on bug fixes and enhancements for the integrations build process.
Contributions:37 reviews, 16 commits, 71 PRs in 9 months
Contributions summary:Terrance primarily contributed to the security-related aspects of the Kibana project. Their work involved adding and updating detection rules within the security solution, focusing on identifying and responding to potential threats. The user added new pre-built rules related to security events, which involved modifications to the `index.ts` file. They also updated filter lists for telemetry data, specifically concerning Endpoint Process API events, and modified documentation links.
elasticdashboardskibanaobservabilitywindow
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Terrance Dejesus - Senior Security Research Engineer at Elastic