Vitr Labs

Publications

Research notes and technical reports from Vitr Labs — open, applied work on AI safety, privacy, and efficiency.

  1. Charter · September 14, 2026

    Why agentic alignment: founding document of Vitr Labs

    Vitr Labs is founded on a problem, not a method: keeping autonomous agents aligned with the people who deploy them. Frontier models have already chosen insider-style harm under goal pressure. Oversight has to run at runtime.

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  2. Privacy & Security · July 8, 2026

    Privacy in the application layer: an in-context encryption protocol for LLM APIs

    We test whether frontier models can sustain an in-context encryption protocol that keeps sensitive fields unreadable in transit and in logs. Two of three models can; the third refuses on policy grounds — showing that alignment layers now decide which security protocols applications may implement.

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