A machine is describing your business to prospects several times a day, and there is no record of any of it.
That was the whole starting point. I built Attest for the All Things Agentic Hackathon, Fortified Enterprise Fleet track, and I wrote this post for that hackathon too. Code is at github.com/jpka/attest.
The problem is narrow on purpose. The SEC's 2026 examination priorities name AI in several places, including whether a firm's claims about its own AI are fair and accurate. That is the regulator checking what you say about your AI. Nothing there reaches the other direction. Whether an investment adviser has any liability for what somebody else's model says about them is open law, and I am not claiming otherwise. The narrow version is enough to build on. You are being described by a system you do not control, you have no record of it, and examiners are already asking firms about AI.
What it does
Attest runs a fixed battery of factual questions about SEC-registered advisers on a schedule, scores each answer against the firm's Form ADV Part 1A filing, and appends the result to a hash-chained archive.
