Every time you say “hey” to a smart speaker, a recording of your voice leaves your house. It travels to a data center, gets transcribed, gets analyzed, and — depending on the vendor and the year — sometimes gets reviewed…
You installed a local AI agent because you wanted control. No more sending your codebase, your customer records, or your internal docs off to a third-party API. Except now that agent has a browser tool, a filesystem tool, a shell…
Your Zapier bill just went up again. Meanwhile, every webhook you fire, every spreadsheet row you sync, and every email you auto-forward passes through a third party’s servers first. You don’t own that data pipeline. You rent it. And the…
Sending proprietary source code, customer records, or financial metrics to public LLM APIs like OpenAI or Anthropic is a compliance landmine waiting to detonate. Engineers want the reasoning horsepower of frontier cloud models, but security teams cannot tolerate the risk…
Running local open-source Large Language Models (LLMs) feels like a massive win for privacy—until your operating system phones home with your prompts stored in temporary buffer files, system diagnostics, and background telemetry. You downloaded locally hosted LLM runners specifically to…
An autonomous AI agent on your network with a broad OAuth token is one of the most dangerous entities in modern infrastructure.It runs 24/7, makes independent tool-calling decisions, interacts with untrusted external data, and holds credentials that can access production…