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Answer: Guardrails for Amazon Bedrock
**Explanation:** Guardrails for Amazon Bedrock is specifically designed to help ensure safe and responsible deployment of generative AI applications. It provides features for: 1. **Content filtering** - Detects and filters harmful content across categories like hate speech, insults, sexual content, and violence 2. **Denied topics** - Blocks undesirable topics that are not aligned with your application's purpose 3. **PII redaction** - Automatically detects and redacts personally identifiable information (PII) 4. **Word filters** - Blocks specific words or phrases For healthcare applications that must comply with HIPAA (Health Insurance Portability and Accountability Act), Guardrails for Amazon Bedrock is essential because: - HIPAA requires protection of Protected Health Information (PHI) - Guardrails can automatically detect and redact PHI from chatbot responses - It helps prevent accidental disclosure of sensitive medical data - It ensures the chatbot operates within compliance boundaries While Knowledge Bases for Amazon Bedrock (Option A) helps with retrieval-augmented generation, and fine-tuning (Option C) customizes models, neither specifically addresses compliance and safety features like Guardrails does. AWS Lambda event filters (Option D) are unrelated to AI safety and compliance.
Author: Jin H
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Q3. A healthcare AI startup wants to build a chatbot that references sensitive medical data but must comply with HIPAA privacy standards. Which AWS feature helps ensure safe deployment of generative-AI applications?
A
Knowledge Bases for Amazon Bedrock
B
Guardrails for Amazon Bedrock
C
Fine-tuning foundation models
D
AWS Lambda event filters