Why fetched content changes the AI security model
How browsing agents and retrieval systems create a different trust problem than ordinary user prompts.
Blog
Writing about the fetch boundary, not just the prompt layer.
This page anchors the public writing footprint for SecureFetch AI: product framing, architecture notes, and practical security guidance for web-connected AI systems.
Where inspection should sit in an agent workflow
A practical look at policy enforcement between retrieval, memory, prompt assembly, and tool execution.
What to log when evaluating source trust
A guide to collecting enough metadata for review, replay, and control decisions.
Why this page matters
A visible company footprint is not only a homepage. It also includes category writing, product updates, and public explanations of how the team thinks about the problem space.