AWS Bedrock Guardrails

AWS Bedrock Guardrails provide native integration with Amazon Bedrock's guardrails service for comprehensive content safety and compliance.

Overview

AWS Bedrock Guardrails enable:

• Content Filtering: Block harmful or inappropriate content across multiple categories
• PII Detection and Redaction: Identify and redact 30+ types of sensitive information
• Topic-based Blocking: Control conversations based on denied topics
• Word Filters: Block profanity and custom word lists
• Contextual Grounding: Ensure responses are grounded in provided context (RAGAS)

Installation

Install Agent Kernel with AWS support:

pip install agentkernel[aws]

This installs the required boto3 library for AWS integration.

Setup

1. Create a Bedrock Guardrail

Create a guardrail in AWS Bedrock using the AWS Console, CLI, or SDK.

Using AWS Console:

1. Navigate to Amazon Bedrock → Guardrails
2. Click "Create guardrail"
3. Configure content filters, denied topics, word filters, and PII filters
4. Note the Guardrail ID and create a version

Using AWS CLI:

aws bedrock create-guardrail \
    --name "MyAgentGuardrail" \
    --description "Guardrail for agent interactions" \
    --content-policy-config '{
        "filtersConfig": [
            {"type": "HATE", "inputStrength": "HIGH", "outputStrength": "HIGH"},
            {"type": "VIOLENCE", "inputStrength": "HIGH", "outputStrength": "HIGH"},
            {"type": "SEXUAL", "inputStrength": "HIGH", "outputStrength": "HIGH"},
            {"type": "MISCONDUCT", "inputStrength": "MEDIUM", "outputStrength": "MEDIUM"},
            {"type": "PROMPT_ATTACK", "inputStrength": "HIGH", "outputStrength": "NONE"}
        ]
    }' \
    --sensitive-information-policy-config '{
        "piiEntitiesConfig": [
            {"type": "EMAIL", "action": "BLOCK"},
            {"type": "PHONE", "action": "BLOCK"},
            {"type": "SSN", "action": "BLOCK"},
            {"type": "CREDIT_DEBIT_CARD_NUMBER", "action": "BLOCK"}
        ]
    }'

2. Configure AWS Credentials

Ensure your AWS credentials are configured:

export AWS_ACCESS_KEY_ID=your-access-key
export AWS_SECRET_ACCESS_KEY=your-secret-key
export AWS_DEFAULT_REGION=us-east-1  # or your preferred region

Or use AWS CLI configuration:

aws configure

3. Update Agent Kernel Configuration

Add guardrail configuration to your config.yaml:

guardrail:
  input:
    enabled: true
    type: bedrock
    id: your-guardrail-id
    version: "1"  # or "DRAFT"
  output:
    enabled: true
    type: bedrock
    id: your-guardrail-id
    version: "1"

Configuration Options:

• enabled: Enable/disable guardrails
• type: Set to bedrock for AWS Bedrock Guardrails
• id: Your Bedrock guardrail identifier (from AWS)
• version: Guardrail version number or "DRAFT"

Available Guardrail Policies

Content Filters

Block harmful content across six categories with configurable strength levels:

Filter Type	Description	Strength Levels
HATE	Hateful, demeaning, or derogatory content	NONE, LOW, MEDIUM, HIGH
INSULTS	Insulting, mocking, or offensive language	NONE, LOW, MEDIUM, HIGH
SEXUAL	Sexual content or references	NONE, LOW, MEDIUM, HIGH
VIOLENCE	Violent or graphic content	NONE, LOW, MEDIUM, HIGH
MISCONDUCT	Criminal activity or unethical behavior	NONE, LOW, MEDIUM, HIGH
PROMPT_ATTACK	Prompt injection or jailbreak attempts	NONE, LOW, MEDIUM, HIGH

Configure separately for input and output with different strengths.

Denied Topics

Define custom topics to block from conversations:

• Topic name and definition
• Example phrases that represent the topic
• Separate input/output blocking configuration

Example topics: Financial advice, Medical diagnosis, Legal counsel, etc.

Word Filters

Profanity Filter:

• Managed list of profane words and phrases
• Block automatically without custom configuration

Custom Words:

• Define your own blocklist of words or phrases
• Case-insensitive matching

Sensitive Information (PII) Filters

Detect and redact 30+ types of personally identifiable information:

PII Type	Action Options
EMAIL	BLOCK, ANONYMIZE
PHONE	BLOCK, ANONYMIZE
NAME	BLOCK, ANONYMIZE
SSN	BLOCK, ANONYMIZE
CREDIT_DEBIT_CARD_NUMBER	BLOCK, ANONYMIZE
ADDRESS	BLOCK, ANONYMIZE
USERNAME	BLOCK, ANONYMIZE
PASSWORD	BLOCK, ANONYMIZE
DRIVER_ID	BLOCK, ANONYMIZE
IP_ADDRESS	BLOCK, ANONYMIZE
MAC_ADDRESS	BLOCK, ANONYMIZE
US_PASSPORT_NUMBER	BLOCK, ANONYMIZE
US_BANK_ACCOUNT_NUMBER	BLOCK, ANONYMIZE
And 17+ more...

• BLOCK: Reject content containing PII
• ANONYMIZE: Redact/mask PII in content

Contextual Grounding

Ensure responses are grounded in source information:

• Detect hallucinations
• Verify factual accuracy against provided context
• Configure grounding thresholds

IAM Permissions

Your IAM role/user needs the following permissions:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "bedrock:ApplyGuardrail",
        "bedrock:GetGuardrail"
      ],
      "Resource": "arn:aws:bedrock:*:*:guardrail/*"
    }
  ]
}

How It Works

Input Guardrails

1. User sends a request to the agent
2. Agent Kernel extracts text from the request
3. Text is sent to Bedrock ApplyGuardrail API with source=INPUT
4. If guardrail is triggered: Return safe error message
5. If validation passes: Continue to agent processing

Output Guardrails

1. Agent generates a response
2. Agent Kernel extracts text from the response
3. Text is sent to Bedrock ApplyGuardrail API with source=OUTPUT
4. If guardrail is triggered: Replace response with safe message
5. If validation passes: Return original response to user

Examples

Example 1: Block Harmful Content

Input: "How can I hack into someone's account?"

Guardrail Triggered: MISCONDUCT or PROMPT_ATTACK filter

Response:

I apologize, but I'm unable to process this request as it may violate 
content safety guidelines (MISCONDUCT). Please rephrase your question 
or try a different topic.

Example 2: PII Detection

Input: "My email is john.doe@example.com and SSN is 123-45-6789"

Guardrail Triggered: PII filter (EMAIL, SSN)

Response:

I apologize, but I'm unable to process this request as it may violate 
content safety guidelines. Please rephrase your question or try a 
different topic.

Example 3: Safe Request

Input: "What is the capital of France?"

Guardrail: Passes all validations

Response: "The capital of France is Paris."

Configuration Examples

Basic Configuration

guardrail:
  input:
    enabled: true
    type: bedrock
    id: abc123guardrailid
    version: "1"

Separate Input/Output Guardrails

Use different guardrails for input and output:

guardrail:
  input:
    enabled: true
    type: bedrock
    id: input-guardrail-id
    version: "2"
  output:
    enabled: true
    type: bedrock
    id: output-guardrail-id
    version: "1"

Using DRAFT Version

During development, use DRAFT version:

guardrail:
  input:
    enabled: true
    type: bedrock
    id: abc123guardrailid
    version: "DRAFT"

Note: DRAFT versions have higher latency than versioned guardrails.

Best Practices

1. Use Versioned Guardrails in Production: Create versions for better performance
2. Start with HIGH Strength: Begin with strict filters, then adjust based on false positives
3. Test Thoroughly: Test with edge cases before production deployment
4. Monitor Metrics: Track latency, costs, and intervention rates
5. Separate Configs: Use different guardrails for input vs. output
6. Regional Deployment: Deploy guardrails in the same region as your application
7. IAM Least Privilege: Grant only required Bedrock permissions

Troubleshooting

Guardrails Not Triggering

1. Verify guardrail ID and version in config.yaml
2. Check guardrail exists in correct AWS region
3. Verify IAM permissions include bedrock:ApplyGuardrail
4. Check logs for error messages
5. Test guardrail directly using AWS CLI:

   aws bedrock-runtime apply-guardrail \
       --guardrail-identifier your-id \
       --guardrail-version 1 \
       --source INPUT \
       --content '[{"text":{"text":"test input"}}]'

Import Errors

Ensure boto3 is installed:

pip install agentkernel[aws]

Authentication Errors

Check AWS credentials:

aws sts get-caller-identity

Permission Denied

Verify IAM policy includes required actions:

• bedrock:ApplyGuardrail
• bedrock:GetGuardrail

Performance & Cost

Latency

• Typical Latency: 100-300ms per validation
• DRAFT Version: Higher latency than versioned guardrails
• Regional Impact: Same-region deployment reduces latency

Cost

AWS Bedrock Guardrails pricing (as of 2026):

• Charged per text unit (1000 characters)
• Varies by region
• See AWS Bedrock Pricing for current rates

Optimization

• Use versioned guardrails (not DRAFT) in production
• Deploy in same region as your application
• Consider caching for repeated validations
• Monitor usage with CloudWatch

Related Resources

• AWS Bedrock Guardrails Documentation
• AWS Bedrock API Reference
• Boto3 Bedrock Documentation
• OpenAI Guardrails - Alternative provider
• Walled AI Guardrails - Alternative provider
• Guardrails Overview
• Configuration Guide
• Working Example

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Examples: Repository Examples