When generative AI (GenAI) interacts with dynamic, structured data like core organizational databases, static evaluations fall short. Continuous monitoring is essential to ensure that natural language inputs and GenAI outputs avoid bias and prevent errors or unintended consequences, while ensuring compliance with regulations.
eRAG monitors human-AI interactions and generates real-time governance risk metrics:ย ย
1. Monitoring in real-time
eRAG monitors:
- Input: User interactions in natural language (with multi-language support)
- Output: GenAI-generated responses and results
2. Evaluates safety and compliance metrics
eRAG collects safety and compliance metrics, focusing on regulations such as:
- EU AI Act
- Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
- Specific organizational policies
3. Generates Risk Scoreย
eRAG collects the metrics and feeds them into visualization and governance solutions:
- Analysis and visualization tools such as Amazon SageMaker
- Governance solutions including IBM watsonx.governanceย
eRAG simplifies interactions with relational databases and structured data sets in natural language, for both technical and non-technical users, while ensuring compliance with regulations and company policies.
*This feature is in preview mode
