Hi HN,We’re a small team at Thyris working on open-source AI, with a focus on making AI systems safer and more practical to run in production.While integrating LLMs into real-world applications, we kept running into the same issues:
- sensitive data leaking into prompts or model outputs,
- unsafe or non-compliant responses,
- and brittle structured outputs (e.g. invalid JSON) breaking downstream systems.To explore these problems, we built TSZ (Thyris Safe Zone), an open-source guardrails and data security layer that sits between applications and external AI or API systems.At a high level, TSZ:
- detects and redacts PII and secrets before data leaves your environment,
- applies rule-based and semantic (AI-assisted) guardrails,
- validates structured outputs against predefined schemas,
- and returns clear signals (redacted output, metadata, blocked flag) so applications can decide how to proceed.The project is fully open source (Apache 2.0) and self-hosted. We’re sharing it mainly to learn from others building LLM systems in production and to get feedback on what works and what doesn’t.Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;thyrisAI&#x2F;safe-zone" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;thyrisAI&#x2F;safe-zone</a> 
Docs: <a href="https:&#x2F;&#x2F;github.com&#x2F;thyrisAI&#x2F;safe-zone&#x2F;tree&#x2F;main&#x2F;docs" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;thyrisAI&#x2F;safe-zone&#x2F;tree&#x2F;main&#x2F;docs</a>Happy to answer questions or discuss alternative approaches people are using.