Articles & Essays
Practical, technical content on cloud detection pipelines, incident response, AI/ML security, and detection engineering.
SOC Hub: An Open-Source AI-Powered Case Management Platform
A multi-tenant, AI-assisted SOC case management system built for modern security teams.
Detection & Response in Cloud Environments: Zero to ETL
Building the infrastructure that turns raw cloud logs into actionable intelligence — from ingest pipelines to AI-powered signals and GitOps-managed detection rules.
SIRAS: Simulating Chaos to Build Resilience
How to stress-test your incident response program before a real attack does it for you. Introducing SIRAS, an open-source simulation tool for exposing detection blind spots.
Securing LLMs & AI: Lessons from the Frontlines of MLSecOps
The same DevSecOps principles apply to AI/ML systems — but the execution is completely different. Non-determinism, agentic behavior, and a new attack surface most teams aren't ready for.
Detection ≠ Alerts | Detection = Knowledge
Generating alerts is easy. Building detection — the kind that actually tells you something — is a different discipline entirely. And it matters more than ever.