The AI Trust Score™ Manager discovers AI assets, scores Agentic or Conversational risk, and secures applications through real-time policy enforcement. It provides full transparency into every AI transaction and simple governance reporting with built-in regulatory frameworks aligned to emerging standards like the EU AI Act, ISO 42001, and NIST 600.1.
The AI Trust Score™ quantifies response trustworthiness from the Cognitive layer (including LLM), scored 0-1000, higher indicating more trust.
The Tumeryk SDK is cloud-agnostic, functioning seamlessly across all major cloud platforms as well as in on-premises environments.
Supports leading LLMs and frameworks, including Azure, OpenAI, Amazon Bedrock, Anthropic, Hugging Face, Google Vertex AI, and LangChain.
Every application is assigned a specific role with defined policies, which may restrict access to certain content and topics.
Agnostic to RAG architecture specifics, the SDK enables seamless, out-of-the-box deployments compatible with various RAG implementations.
The SDK includes a set of pre-built policies, providing safeguards for various common use cases to ensure robust protection.
Supports custom policy creation via a powerful policy language, allowing policies to be tailored to meet specific compliance requirements.
Offers both Python SDK and REST API options, enabling seamless integration and flexibility across platforms to meet diverse development needs.
Tumeryk Large Language Model(LLM) Scanner evaluates security risks and generates a report to allow security professionals a complete evaluation of the Gen AI model risk profile allowing them to build the necessary guardrails to Detect, Protect and Respond to threats.
Business leaders agree Gen AI needs conversational security tools.
