Tag: #security

A deep dive on how I approached secrets management early in a multi-tenant, GPT-integrated, production system and what I learned the hard way.

How I built a single Vercel-hosted API that serves many Custom GPTs via OpenAPI, with strict tenant isolation and safe action execution into warehouses/lakes.

A comprehensive guide to what GPTBot is, how it appears in your logs, the difference between indexing and user-driven retrieval, and what options you have to allow, monitor, or block it.

An exploration of how users leverage ChatGPT and AI agents to fetch, scrape, and interpret content from the web — what it looks like, why it happens, and what it means for site owners.

A practical, historical, and implementation‑minded guide for product teams and security‑conscious builders

What I tell clients, colleagues, and friends when they ask about security, privacy, and data handling with AI tools.

My approach to building signup/auth, where data lives, and how security fits—kept intentionally stack-agnostic until the problem is clear.

Principles and decisions for running a multi-tenant Integration Platform (IPaaS) with Model Context Protocol (MCP) agents/tools. No code—just the hard choices.