Essays and breakdowns for people who design and run security systems: Zero Trust and privileged access, workforce and endpoint guardrails, detection engineering, and frameworks like NIST CSF, CDM, and MITRE D3FEND. Recent work focuses on securing AI coding agents (skill and supply-chain risk, sandboxed runtimes) plus credential and software supply-chain failures. Earlier writing includes high-profile breach and architecture case studies (for example Change Healthcare ransomware and the Duolingo API exposure), cryptography, microsegmentation, and passwordless authentication.

Building an AI-Native Knowledge Layer: From Markdown to Semantic Search, Knowledge Graphs, and MCP
Executive summary Most personal websites, documentation sites, and long-form writing collections are designed for humans. You write Markdown, a static-site generator renders HTML, search engines crawl the pages, and visitors navigate through links, tags, archives, and search. That model still works. But AI agents consume information differently. An agent should not need to crawl ten pages, reverse-engineer navigation, scrape HTML, reconstruct relationships, and guess what information is authoritative every time it wants to understand a body of work. ...








