Public abstract only. Technical details are reserved for private review.
Public abstract only. This working paper surveys enterprise data-exposure risk in AI adoption, while detailed pathways and mitigation designs remain withheld.
Status: Public abstract only.
Enterprises adopting AI tools face ongoing risk around confidential information, regulated data, and uncontrolled external processing. This working paper reviews the problem at a high level and is being revised to separate public framing from implementation-sensitive material.
Detailed exposure pathways, case analysis, and mitigation design are being withheld from the public draft.
We explore controlled local AI, sensitive document workflows, and review support as the research develops. If you want to discuss collaboration or pilots, reach out.
One workflow, your environment, hardware included — roughly 4–8 weeks from kickoff. Local, offline-capable, and priced by scope — not by the token. You leave with a review record you can show security and compliance, whether or not you proceed.