A financial services company deploys a customer-facing chatbot on Amazon Bedrock that answers questions about loan eligibility policies. Compliance requires that the model's factual claims about eligibility rules be mathematically verified against the company's documented policies, and that any response containing an unverifiable or contradictory claim be flagged before delivery. The team already uses content filters and denied topics but needs to catch subtle factual inaccuracies that contradict formal business rules. Which Amazon Bedrock Guardrails capability should they configure?