What is Automated Reasoning in Bedrock Guardrails?

Automated Reasoning provides mathematical verification against formal policy rules, offering up to 99% accuracy in ensuring that model responses strictly adhere to defined safety and compliance protocols.

Does this skill only work with AWS Bedrock models?

No. While it uses the Amazon Bedrock service, the ApplyGuardrail API is model-agnostic and can be used to validate inputs and outputs for any LLM, including OpenAI, Google Gemini, or self-hosted models.

How does Contextual Grounding prevent hallucinations?

It validates the factual accuracy of a model's response by comparing it against provided source documents, ensuring the AI doesn't 'hallucinate' information that isn't present in your reference data.

Can I define custom sensitive data patterns?

Yes, the skill supports custom regex patterns, allowing you to identify and block or anonymize domain-specific information like internal employee IDs, API keys, or proprietary project codes.

Bedrock AI Safety & Guardrails

Name: Bedrock AI Safety & Guardrails
Author: adaptationio

byadaptationio

安全与测试

Implements comprehensive Amazon Bedrock Guardrails to secure generative AI applications with content filtering, PII protection, and hallucination detection.

关于

This skill provides a standardized implementation for Amazon Bedrock Guardrails, enabling developers to enforce strict safety policies across any foundation model. It automates the setup of six critical safeguard layers—including PII redaction, topic denial, and mathematical verification via automated reasoning—ensuring that AI-driven interactions remain compliant, secure, and contextually accurate. By leveraging the ApplyGuardrail API, it allows for consistent policy enforcement regardless of the underlying LLM provider, making it an essential tool for enterprise-grade AI deployment, risk management, and RAG application validation.

主要功能

Contextual Grounding to detect and prevent AI hallucinations
Customizable Topic Denial for financial, medical, and legal boundaries
Model-agnostic enforcement via the ApplyGuardrail API
0 GitHub stars
Automated Reasoning for mathematical verification of policy rules
Six safeguard policies including Content Filtering and PII Redaction

使用场景

Securing enterprise chatbots against jailbreaks and prompt injection attacks
Validating RAG application responses for factual accuracy and source relevance
Automating the redaction of sensitive PII from model inputs and outputs

关于

主要功能

Contextual Grounding to detect and prevent AI hallucinations
Customizable Topic Denial for financial, medical, and legal boundaries
Model-agnostic enforcement via the ApplyGuardrail API
0 GitHub stars
Automated Reasoning for mathematical verification of policy rules
Six safeguard policies including Content Filtering and PII Redaction

使用场景

Securing enterprise chatbots against jailbreaks and prompt injection attacks
Validating RAG application responses for factual accuracy and source relevance
Automating the redaction of sensitive PII from model inputs and outputs