Christopher De La Rosa is a Cyber Threat Intelligence Analyst at Wyndham Hotels & Resorts with more than 11 years of experience investigating cyber threats across the hospitality, retail, technology, and higher education sectors. His work focuses on open-source intelligence (OSINT), threat actor tracking, social engineering, cyber fraud, insider risk, and translating complex investigations into actionable intelligence.

Before joining Wyndham, Christopher served as a Senior Cyber Threat Intelligence Analyst at Target, where he investigated threats impacting the retail sector and collaborated extensively with industry partners through the Retail & Hospitality ISAC (RH-ISAC). Earlier in his career, he built and operationalized cyber threat intelligence and insider risk capabilities at Dick’s Sporting Goods and held security and intelligence roles at VMware, Ernst & Young, and the Texas A&M University System.

Christopher is a two-time RH-ISAC Cybersecurity Practitioner of the Year (2024 and 2026), recognized for his contributions to cyber threat intelligence, intelligence sharing, and collaboration across the cybersecurity community. He is passionate about OSINT and practical investigative tradecraft, particularly using publicly available information to identify threat actors, uncover infrastructure, investigate fraud, and provide intelligence that defenders can act on.

Speaking Engagements & Industry Contributions

* 2025 – BSides Albuquerque: Advanced OSINT Workshop – Threat Actor Tracking & Attribution
* 2025 – RH-ISAC Cyber Intelligence Summit: Tracking DPRK-Linked Threat Actors
* 2024 – RH-ISAC Cyber Intelligence Summit: TLP RED: Leveraging Open Source Intelligence (OSINT) for Real-World Threats – Advanced OSINT Training & Workshop
* 2023 – BSides Albuquerque: Identifying Threat Actors Using OSINT
* 2023 – National Cyber-Forensics and Training Alliance (NCFTA): Law Enforcement Training
* 2022 – RH-ISAC Cyber Intelligence Summit: Dark Web Working Group Town Hall
* 2017 – SANS DFIR Summit: Identifying and Eliminating Blind Spots for Targeted Attacks
* 2016–2017 – TAMU Go Web: Security in Web Development