Research
Intelligence, not noise.
Practitioner-first writing on AI security, operational ML, and the infrastructure behind real-time intelligence systems.
Upcoming series
Training AI Models for WAF
A practitioner's guide to building Web Application Firewall intelligence that survives adversarial traffic, label noise, and production latency budgets. Covering data collection, feature engineering, model selection, deployment, and adversarial hardening.
AI for Security2026-03-20
Why your WAF's ML model is probably making you less secure
Rule-based WAFs fail on unknown patterns. Naive classifiers fail on adversarial drift. Before we cover how to build a WAF that holds up, we need to be honest about why most of them don't.
wafmlsecurityadversarial-ml
AI for Security2026-03-13
Cybersecurity in the Age of Agents: When Software Can Act
In early 2026, researchers documented how AI agents is shaping the next generation of malware and credential theft. Lets understand the latest threat scenario.
AIagentscybersecurity