Vision-Language-Action models transform AI from code into physical robots, with practical implications for security, safety, and homelab automation

Building automated security scanning pipelines with Grype, OSV, and Trivy—CI/CD integration, vulnerability tracking, and actionable reporting

Moving beyond CVSS scores to prioritize vulnerabilities using EPSS probability metrics and CISA KEV catalog for risk-based patch management

Create a personal threat intelligence dashboard using MITRE ATT&CK framework, open-source feeds, and Python to track relevant threats to your environment.

Claude-Flow orchestrates AI agent swarms for development—84.8% SWE-Bench solve rate with neural learning. Here's my experience building with it

Build an enterprise-grade vulnerability management program using only open source tools. From scanning to remediation tracking, here's how to do it right

Automation scripts and tools I built to keep my home network secure, including Ansible playbooks, Python monitors, and automated patching systems