TBA

More talks to come. Reviewed by a peer-review board of practising researchers. Click any talk for details — share the link with a colleague.













AI and LLMs have become essential tools in modern cybersecurity research. In this talk, I will share how an initial analysis of a 1-day vulnerability in the Linux kernel crypto subsystem eventually led to the discovery of Copy Fail. Rather than focusing only on the vulnerability itself, this talk walks through the reasoning process behind the research: where AI helped, where it fell short, and how human insight shaped the direction of the investigation. I will also discuss what this experience suggests about the evolving role of AI-assisted vulnerability research, and why the human researcher still matters.

I am a senior security researcher at Theori with over 8 years of experience in cybersecurity. I have also been an active CTF player with The Duck and MMM. I enjoy reverse engineering and have a strong interest in vulnerability research. My earlier work focused primarily on deobfuscation, web application penetration testing, and bootloader security. More recently, with the rise of AI/LLMs and AI-assisted vulnerability research, my focus has shifted toward Linux kernel security.