AI × Security Notes

An evolving notebook of experiments and ideas at the boundary of machine learning and cybersecurity.

Summary

A running notebook of experiments and ideas at the intersection of machine learning and cybersecurity — concept notes, small Python experiments, and reading summaries from my MBA in AI & Data Science and the IIT Madras AI/ML certificate.

Topics in scope

• Anomaly detection on network and DNS telemetry
• LLM-assisted security analyst workflows (triage, summarization)
• ML for phishing and malicious URL classification
• Adversarial ML — model evasion and poisoning relevant to security tools

Status

Early — most write-ups will land on the blog as standalone posts and be cross-linked here.