Use case 5 · Chief AI Officer / Chief Data Officer
A copilot should not answer the same for everyone. The verdict lands per chunk, per asker.
Copilots answer per person, per chunk. The CFO’s data never reaches the contractor’s screen.
Content is indexed once, for all askers, so your lowest-cleared contractor and your CFO get the same restricted detail from the same question. ConteXengine attaches classification and lineage before anything enters an index, and decides retrieval per asker.
- Per chunk, per asker
- Withheld sources shown and logged
- Nothing invented
The problem
The index doesn't know who's asking
Chunked once, served to everyone. The leak isn't a misconfiguration; it's how the index was built.
Retrieval-time filters can't fix admission
If classification never entered the index, nothing downstream can enforce it.
Every demo runs the same script
Two people with different clearances get the exact same restricted detail.
How it works
Classify at admission
Classification and lineage are attached before content enters an index.
Ask
A person, an agent or a copilot asks the same question.
Decide per chunk
The verdict lands per chunk, row or column, computed from the asker's label reach in the graph.
Show what was withheld
Withheld sources are shown, labelled and logged. Three people, one question, three correct answers.
Why ConteXengine
Live, not scripted
A single label difference in the graph drives the whole contrast.
Fails closed
The unmapped element stays dark; it never gets invented.
Same engine as everything else
The copilot's retrieval is decided by the same graph that decides a privileged request.
Common questions
Does this replace our RAG pipeline?
No. ConteXengine decides what the pipeline may retrieve for this asker. The pipeline stays; the answer changes per person.
What is a label reach?
The set of classification labels an identity holds, computed from the graph. Retrieval is decided against it per chunk.
What does the user see when something is withheld?
The copilot says how many sources were used and how many withheld, and the ledger records which and why.
Does it work for agents asking on a person's behalf?
Yes. The agent retrieves within the delegating person's label reach, never beyond it.
How is classification kept current?
It travels with lineage through pipelines into the lake and the index, so the label at retrieval is the label set at the source.
Go deeper
Give every identity exactly the authority its risk earns. Take it back the instant that risk changes. Prove both.
Runs in your environment
Deployed inside your boundary, including isolated networks. Your data stays where it is.
No AI in the decision path
Models help us build and tune. Every live verdict is deterministic and replayable.
Built and run with you
A build partner connects your estate, then a 24×7 global command center runs it with you.
Patent pending
A new approach to runtime authorization for the agentic enterprise.