Dmitrijs Trizna
Member Of Technical Staff at AISLE™
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolDimi Trizna is a cyber-security and AI researcher with 15 years’ experience defending critical energy SCADA, protecting cloud backends, and developing both offensive and defensive tooling. He blends hands-on red team tradecraft—achieving domain admin in engagements and identifying two attributed APT campaigns—with research-grade work, holding a PhD in AI Security and multiple peer-reviewed publications. At Microsoft and Avast he focused on Security AI and adversarial ML for threat detection, and his open-source contributions include improving Windows API emulation in the well-known speakeasy project to aid malware analysis. He has built appsec AI SAST and fuzzing frameworks that uncovered zero-days and has presented at BlackHat, DefCon AI Village and other top venues. Certified (OSCP, GREM, GDAT, Stanford Online) and active in NATO cyber-events, he combines rigorous academic training with practical, operational impact. Based in Prague, he now applies that hybrid expertise as a Member of Technical Staff driving agentic AI and security innovation.
10 years of coding experience
8 years of employment as a software developer
PhD in AI Security, PhD in AI Security at Università degli Studi di GenovaMaster's Degree, Master's Degree at Rigas Tehniska UniversitateMaster's Degree in Data Science, Master's Degree in Data Science at University of Helsinki
Chinese, Latvian, English, Russian
Github Skills (7)
reverse-engineering10
emulation10
python10
anti-malware9
malware9
c117
c177
Programming languages (8)
Github contributions (5)
mandiant/speakeasy
Feb 2022 - Mar 2022
Windows kernel and user mode emulation.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 10 commits, 2 PRs in 16 days
Contributions summary:Dmitrijs primarily contributed to the implementation of emulated Windows API functions within the `speakeasy` project, focusing on `user32.py` and `kernel32.py`. They added and modified API handlers, implementing functionality for functions such as `GetKBCodePage`, `GetClipboardOwner`, `GetSystemDefaultUILanguage`, and others. These updates demonstrate a focus on accurately emulating Windows system calls and improving the project's ability to analyze and emulate Windows environments.
kernelemulatorwindows-kernelwindowssandbox
dtrizna/slp
Jan 2021 - Oct 2022
Shell Language Processing (SLP). Pre-processing of sh/bash/zsh/.. commands for Machine Learning models.
Contributions:18 commits, 42 pushes in 1 year 9 months
linuxmachine-learning
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