Your Gen AI innovation may be at risk. Applications such as chatbots, voice-bots and agentic apps relying on the use of Generative AI are subject to Federal and State regulations relating to security & bias. If you are deploying Gen AI without a quantified transaction-risk score, your app may be failing to meet new standards.
The AI Trust Score evaluates the Risk of LLMS, Guardrails and AI Applications with AI Agents by scoring the responses based on 9 categories of risks.
The Tumeryk SDK works on all cloud platforms as well as on premises.
Azure, Open AI, Amazon Bedrock, Anthropic, Hugging Face, Google Vertex AI, and LangChain.
Each application is assigned a role with specific policies that may restrict access to content and topics.
Tumeryk includes pre-built support for various vector databases including Elastic, Qdrant, Pinecone etc.
Tumeryk includes a set of pre-built policies, providing safeguards for various common use cases to ensure robust protection.
Use authorized MCP Servers with strong Role-Based Access Control (RBAC) so users and apps access only permitted tools and data. This safeguards security, ensures compliance, and builds trust in data integrity.
Python SDK; Rest API
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