Signet Systems

Research

Research from Signet Systems on how AI systems handle controlled information: what a model can disclose or infer, and whether access controls hold. Each project has a technical explainer and a paper, and some have a sandbox that runs in your browser.

Projects

Projects

NeedToKnow

A benchmark for inference channels in fine-tuned language models

Organizations fine-tune language models on internal documents and restrict what each user may see. A fine-tuned model can combine facts from different documents, so a user may obtain a restricted fact that no document they may read states. NeedToKnow measures whether access controls withhold these derived facts as reliably as stated ones.

  • benchmark
  • access control
  • fine-tuning
  • open-weight models
  • synthetic data
Pre-registration draft Benchmark Updated 12 October 2026

New projects are added here as they are released.