Company / Founder
Mert Nar, Founder & CEO.
Founder of DNA Cybertech Solutions and author of the FACE-EO behavior representation.

Mert Nar is the founder and CEO of DNA Cybertech Solutions. He has about seven years of experience in malware research, reverse engineering, threat hunting and detection engineering.
From 2022 to 2024 he was a Senior Threat Analyst at LMNTRIX, an enterprise managed detection and response provider, where he worked on malware reverse engineering, threat hunting on ELK, and writing YARA and Sigma rules.
His master’s research at Gebze Technical University was on metamorphic malware, malware that rewrites itself, and the resulting papers appeared with IEEE, Springer and Elsevier. He is the author of FACE-EO (FPS 2026), the behavior representation behind our platform.
Experience
- Founder & CEO, DNA Cybertech Solutions Inc. 2024–present
- Senior Threat Analyst, LMNTRIX 2022–2024
Education
- Gebze Technical University, Master’s; thesis on detection of metamorphic (self-rewriting) malware 2017–2020
Publications
- M. Nar, FACE-EO: A Behavior-Centric Intermediate Representation for Explainable Cybersecurity Analysis, FPS 2026, 2026.
- A. G. Kakisim, M. Nar, I. Sogukpinar, Metamorphic malware identification using engine-specific patterns based on co-opcode graphs, Computer Standards & Interfaces, vol. 71, 103443 (Elsevier), 2020. doi:10.1016/j.csi.2020.103443
- M. Nar, A. G. Kakisim, M. N. Yavuz, I. Sogukpinar, Analysis and Comparison of Disassemblers for OpCode Based Malware Analysis, 2019 4th International Conference on Computer Science and Engineering (UBMK), IEEE, 2019. doi:10.1109/UBMK.2019.8907153
- A. G. Kakisim, M. Nar, N. Carkaci, I. Sogukpinar, Analysis and Evaluation of Dynamic Feature-Based Malware Detection Methods, SecITC 2018, Lecture Notes in Computer Science (Springer), 2018. doi:10.1007/978-3-030-12942-2_19
- M. Nar, A. G. Kakisim, N. Carkaci, M. N. Yavuz, I. Sogukpinar, Analysis and Comparison of Opcode-based Malware Detection Approaches, 2018 3rd International Conference on Computer Science and Engineering (UBMK), IEEE, 2018. doi:10.1109/UBMK.2018.8566292