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[ARTICLE · art-168464] src=ajs-consult-llc.github.io ↗ pub= topic=ai-safety verified=true sentiment=· neutral

Request for Collaboration on a Message Mirror Security Architecture

AJS Consult LLC opened Round 1 of a request for comments on a security reference architecture for cloud data mirrors, with comments closing 11 December 2026 at 23:59 UTC and decisions to be published by 18 December 2026. The architecture, published 11 November 2026 by @aaron soellinger, encrypts a private copy of a person's messages and data so that the stored copy is useless on its own and opens only while a device or AI assistant the user approved is making a request. Security problems in the running service are to be reported by email to aaron@matterboard.ai with SECURITY in the subject line rather than posted in comments.

read1 min views1 publishedNov 12, 2026
Request for Collaboration on a Message Mirror Security Architecture
Image: source

Request for comments

Request for comments. Round 1 is open until 11 December 2026, 23:59 UTC.

What this is. A security reference architecture for cloud data mirrors: a private copy of a person’s messages and data that only the readers they choose, including their AI assistants, can search. AJS Consult LLC publishes it for open review.

How to take part

  1. Read it. Start with the executive summary.
  2. Comment or suggest changes. On any page: select text to comment on it, pressSuggest edits to change the wording right on the page and send your changes, or comment at the end of the page. Suggestions and comments made with a GitHub account are credited to it.
  3. Follow the review.Updates : sign up by email, use the feed, or watch on GitHub.
  4. Found a security problem in the running service? Email aaron@matterboard.ai with SECURITY in the subject. Never post it in a comment.
Round 1
Opens 11 November 2026
Comments close 11 December 2026, 23:59 UTC
Decisions published By 18 December 2026

Nov 11, 2026 · @aaron soellinger

A request for comments (RFC) on encrypting private data mirrors so that a copy of the stored data is useless on its own, and the data opens only while a device or AI the user approved is making a request.

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