GenAI & RAG Risk Management
Govern data flowing into and out of AI copilots, RAGs, and custom models.
Use Case Summary
GenAI and RAG systems often access sensitive enterprise data through embeddings, prompts, or unstructured stores. Bedrock maps these flows, identifies which datasets are being used, and verifies that guardrails are effective — ensuring your AI systems respect privacy and compliance boundaries.
Key Capabilities
AI Data Mapping
Discover all datasets feeding AI copilots and RAGs.
Guardrail Assessment
Evaluate AI platform configurations for compliance risk.
Exposure Analytics
Identify sensitive data accessed or generated by AI systems.
Value to Stakeholders
CAIO
Ensure responsible AI operation with data provenance and governance transparency.
CISO
Mitigate data leakage risks from GenAI tools and assistants.
GRC
Validate compliance of AI ecosystems with regulatory and ethical standards.