Fits into the LLM architecture
Sits between the application layer and the deployment layer to validate user prompts and model responses on two endpoints.
Works with any LLM
Whether you’re using OpenAI or another large language model, Shield will be able to be integrated into the workflow.
Provides real-time protection
Our inference deep dive capabilities allow us to detect and intercept any prompts that may potentially be considered harmful or elicit a potentially dangerous output.
Arthur Shield is the key to deploying LLMs quickly and safely
Sensitive Data Leakage
Protect your user’s data as well as your company’s proprietary data from being unintentionally leaked.
Block LLM responses that are not value-aligned with your organization.
Identify and block attempts to override the intended behavior of an LLM by malicious users.
Detect likely incorrect or unsubstantiated responses from an LLM before they can cause harm to the end user.