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AI Trust Score™ for Developers

Ship GenAI Features Without Compromising Security or Trust.

You’re building with LLMs — integrating OpenAI, Anthropic, Azure, or local models into your app. But every new feature opens up unknown risks. Prompt injection. IP leaks. Hallucinations. Insecure output. Compliance gaps.

For-Developers

What you can do:

You need a way to test, enforce, and prove your GenAI app is secure and trustworthy — without slowing down your sprint velocity.

Tumeryk gives developers the tools to embed trust natively into GenAI apps — with SDKs, APIs, and a scoring engine that runs in real time or CI/CD.

  • Add Tumeryk’s Python SDK in minutes
  • Score prompts/responses on 9 trust vectors: PII, hallucination, bias, IP, etc
  • Define “trust zones” per app, model, or user
  • Auto-enforce policies using the Trust Score Manager
  • Export logs for audits, dashboards, or trust reporting
  • Get full control over GenAI output — without building your own firewall

Key Features:

  • Multi-Model LLM support (OpenAI, Azure, Anthropic, local)
  • Compatible with RAG apps, chatbots, co-pilots, assistants
  • Role-based guardrails and custom policy builder
  • Lightweight install + open APIs for CI/CD, logging, monitoring
  • Built-in support for Responsible AI standards (NIST, ISO, EU AI Act)
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