My RTX 3090 runs Llama 3.1 70B locally, but 'local' doesn't automatically mean 'private.' After discovering unexpected network traffic from Ollama, I rebuilt my AI lab with real privacy controls.

Preparing my homelab for the quantum threat with NIST's post-quantum algorithms—CRYSTALS-Kyber, CRYSTALS-Dilithium, and practical implementation lessons

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

Explore IoT security vulnerabilities hands-on with OWASP IoTGoat—testing firmware extraction, API exploitation, and building secure IoT lab environments

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

How I implemented zero trust principles using VLAN segmentation on my homelab - practical network security beyond simple firewall rules

Migrating from cloud password managers to self-hosted Bitwarden: setup, security hardening, backup strategies, and why I made the switch

Setting up Suricata IDS/IPS on homelab for real-time network threat detection—rule management, performance tuning, and integrating with security stack

Practical container security hardening techniques for Docker and K3s in a homelab environment, from base image selection to runtime security monitoring

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

Complete guide to deploying DNS-over-HTTPS on home networks for privacy and security, covering Pi-hole, dnscrypt-proxy, and multiple implementation approaches

Using eBPF for real-time Linux security monitoring—syscall tracking, network observability, and production-ready patterns for kernel-level visibility

Complete guide to running LLMs locally for privacy: hardware requirements, model selection, optimization techniques, and practical deployment strategies

How I built a comprehensive security lab at home for learning and experimentation—covering Proxmox, VLANs, IDS/IPS, and keeping my family's data safe

Lessons from running LLMs and AI experiments at home while keeping data secure, covering model isolation, network segmentation, and privacy controls

The winding path from fixing printers to securing federal systems over 10 years—lessons learned, mistakes made, and advice for aspiring security professionals

From network monitoring to physical security—practical Raspberry Pi security projects like Pi-hole, VPN gateway, and honeypots without breaking the bank

How I stay current in a field that changes daily—practical strategies including lab exercises, research tracking, and community engagement without burnout

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

Running Ethereum nodes on my homelab taught me blockchain is about building trust without central authorities. Here's what works (and doesn't)

Practical guide to implementing zero trust architecture: identity verification, micro-segmentation, and continuous monitoring for modern security

Can LLMs detect smart contract vulnerabilities? Testing GPT-4 and Claude against known exploits with surprising results and security implications

Quantum computers threaten today's encryption. Implementing NIST's post-quantum cryptographic algorithms to future-proof security infrastructure

Zero trust security assumes breach and verifies everything. My journey implementing these principles in a homelab environment with practical examples

AI-generated deepfakes threaten truth itself. Exploring detection techniques, authentication methods, and the arms race between creation and detection

Securing cloud-native environments requires new approaches—container security, service mesh, secrets management, and zero trust for microservices

Breaking down cryptography fundamentals—symmetric/asymmetric encryption, hashing, digital signatures—with practical examples and implementation guidance

Practical guide to writing secure code from the start: input validation, parameterized queries, secrets management, and secure architecture patterns