Writing / Field notes
Notes from the boundary between models and operations.
Practical writing on security-focused machine learning, production threat detection, retrieval, and the technical judgment that connects them.
Editorial queue
First field notes are in progress.
Drafts stay out of the public article routes until they are complete. Their source files include outlines, reading-time support, tags, and clearly marked sections ready for development.
What AI Security Teams Can Learn From Traditional Threat IntelligenceDraft
Why Character N-Grams Still Work for Phishing DetectionDraft
Taking a Threat-Detection Model From Notebook to Hourly ProductionDraft
While the notes develop
The case studies carry the full technical story.
See the architectures, constraints, evaluation strategies, and production lessons behind three applied AI systems.