Security engineer working on detection, secrets management, and offensive security, moving toward research in AI security and the security of the systems AI runs inside.

Research

• Final-year research: dtss — a digital twin of an industrial control system, built as a safe target for attack testing, with ML-based intrusion detection across five classifiers. Awarded the gold medal for best final-year project.
• Co-author — Precognito: The Emergence of Blockchain & Machine Learning-Based for Student Record Authentication System, ARASET 55(1):125–140, 2026 · DOI

Writing

• Security writeups — HackTheBox, TryHackMe and CTF walkthroughs: abuyusif01.github.io

Interests — AI security · systems security · offensive security · applied ML for detection