The Simplest Science Behind Domain Similarity
A clear introduction to Levenshtein distance, homograph normalization, and how similarity scoring helps identify deceptive look-alike domains.
Read on ThreatSTOPWriting / Field notes
What I’ve learned from building machine-learning systems.
Practical writing on security-focused machine learning, production threat detection, retrieval, and the technical judgment that connects them.
Enhancing DNS Security with Machine Learning
How domain similarity, structural signals, character patterns, and continuously refreshed threat intelligence strengthen protective DNS.
Read on ThreatSTOPSee the work in practice
Try the live AI research agent.
See how I approached the architecture, safety boundaries, evidence, and user experience behind the working prototype.