Knowledge Spaces
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Scope a Six-Week Pilot
Sprinklenet publishes the thinking behind Knowledge Spaces: how to run AI on sensitive data without giving up control of it. These papers are written for the security, compliance, and standards audiences who need the architecture.
Knowledge Spaces
White PaperSecurity and Compliance
How Knowledge Spaces keeps regulated data, including PHI, inside a governed boundary and sends the model only the minimum it needs. Written for CISOs and compliance teams who have to answer for where the data goes.
White PaperPlatform Overview
The foundational overview of Knowledge Spaces: what the control layer is, how it governs AI access to your data, and where it fits in your stack.
Contributing to AI Standards
Public ResearchPolicy Comment
Sprinklenet’s public comment to NIST NCCoE on how AI agents should prove identity and earn authorization. Submitted March 2026 as part of the open standards process.
More research is in progress. If there is a topic you want covered, tell us through the contact form.
