AWS solutions documentation change
Summary
Added new solution guide for Package Compliance Validation Agents on AWS, including overview, benefits, architecture diagram, and workflow explanation
Security assessment
The change introduces a new compliance validation solution without addressing any specific security vulnerabilities. It focuses on regulatory adherence for packaging/labeling requirements using AI agents, with no evidence of patching security flaws or addressing incidents. Security components like Cognito and Bedrock AgentCore are mentioned as part of standard architecture but aren't the primary focus.
Diff
diff --git a/solutions/package-compliance-validation-agents-on-aws/index.md b/solutions/package-compliance-validation-agents-on-aws/index.md index 8b1378917..b11a48dc1 100644 --- a//solutions/package-compliance-validation-agents-on-aws/index.md +++ b//solutions/package-compliance-validation-agents-on-aws/index.md @@ -0,0 +1 @@ +# Guidance for Package Compliance Validation Agents on AWS @@ -1,0 +3,53 @@ +## Overview + +This Guidance demonstrates how to automate packaging compliance validation across multiple geographies by using AI-powered agents to analyze package images and verify adherence to regional shipping regulations. Four specialized agents—Vision, Text, Compliance, and Reporting—work together through Amazon Bedrock AgentCore to examine package characteristics, research applicable regulations for shipping destinations, and generate detailed compliance reports. The system connects agents to regulatory databases and web search capabilities using the Model Context Protocol, enabling real-time validation of packaging, labeling, and identification requirements. You can reduce compliance review time, minimize shipping delays caused by regulatory violations, and ensure consistent adherence to regional packaging standards across your global supply chain. + +## Benefits + +Automate compliance validation at scale + +Use a multi-agent AI system to analyze package images and validate destination-specific regulations in near real-time, reducing manual review effort and accelerating your shipping approval workflows. + +Reduce risk of costly shipping violations + +Catch compliance gaps before packages ship by automatically comparing package characteristics against up-to-date international regulations, helping you avoid penalties and rejected shipments. + +Stay current with regulatory changes + +Keep your compliance data accurate with automated daily regulation updates, so your teams always validate against the latest destination-specific requirements without manual intervention. + +## How it works + +This architecture diagram shows how to create a multi-agent package regulation compliance solution which researches shipping destination regulations, analyzes packages in near real time using computer vision, and validates regulation compliance. + +[ Download the architecture diagram. ](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/solutions/approved/documents/architecture-diagrams/package-compliance-validation-agents-on-aws.pdf) + + Step 1 + +Users access the web application via Amazon CloudFront (CDN) with static assets from Amazon S3. They upload package images and shipping destinations to initiate compliance validation and retrieve reports. + +Step 2 + +Amazon Cognito manages authentication. Amazon API Gateway routes requests to the Agent Manager AWS Lambda function. + +Step 3 + +The Agent Manager orchestrates four specialized agents—Vision, Text, Compliance, and Reporting—using the Strands SDK open-source framework, integrated with Amazon Bedrock AgentCore for secure, scalable deployment. + +Step 4 + +The Compliance Agent is deployed with Amazon Bedrock AgentCore, an enterprise-grade service for securely deploying and operating AI agents at scale. It generates compliance reports via the Report Engine on AWS Lambda. The Report Engine compares package characteristics against applicable regulations, identifies compliance issues, and produces detailed reports. Output reports and images are stored in Amazon S3. + +Step 5 + +The Research Agent is deployed with Amazon Bedrock AgentCore Runtime and performs regulatory research for shipping destinations. + +Step 6 + +Amazon Bedrock AgentCore Runtime connects agents to tools using the Model Context Protocol (MCP) enabling standardized communication between agents and tools for Amazon DynamoDB operations and web search capabilities. + +Step 7 + +Amazon EventBridge triggers daily regulation updates. Amazon CloudWatch Alarms monitor performance and compliance metrics, triggering Amazon Simple Notification Service alerts when anomalies are detected. + +[ Read usage guidelines ](/solutions/guidance-disclaimers/)