Station register
Whisper Station
A facility's name.
Unclassified on its ownCompilation AI / An independent project
AI connects the dots.
Some connections need a boundary.
Information that's fine to share on its own can become sensitive when combined. Compilation AI is a project for applying information-sharing rules to what AI puts together, without getting in the way of useful work.
Classification by compilation
Same facts. Different implications.
Activity record
Wiretap feeds
The information collected.
Unclassified on its ownNot in this requestIllustrative outcome
The lookup stays useful.
The station name alone does not trigger the fictional compilation rule.
One record / permitted by this ruleThe rule behind the example
Under the fictional guide, linking Whisper Station to wiretap feeds is SECRET. Each fact is unclassified separately. This fixed illustration explains the concept; it does not run a classifier or demonstrate detection accuracy.
Protect the connection.
Preserve the usefulness.
Access to the source records is only part of the question. What an AI assembles from them matters, too.
The problem isn't limited to one industry. Customer information, internal business data, and government records can all become more sensitive in combination. Compilation AI applies encoded rules to AI requests and responses; the rules depend on the information and the context.
About the project and the person behind itIs this a problem you recognize?
Your perspective can help shape what comes next.