Intelligence-driven message defense and insights using Amazon Bedrock

This article demonstrates how to use Amazon Bedrock and Amazon Nova models to detect policy violations in brokerage communications, including obfuscated contact information, while extracting business insights.

• Regex patterns fail against evolving evasion techniques like emojis, leetspeak, and disguised measurements
• Amazon Bedrock's generative AI detects obvious and hidden contact information with contextual understanding
• Prompt engineering identifies phone numbers, emails, addresses, and personal information across multiple formats
• Amazon Bedrock Prompt Management stores and versions prompts for production use without disruption
• Sentiment analysis extracts customer satisfaction and identifies service improvement opportunities
• Action item detection routes issues to customer care or product teams for resolution
• Real-world testing showed 100% accuracy on 10 brokerage messages versus regex limitations
• Integration via Amazon Bedrock API, AWS Step Functions, and EventBridge enables scalable workflows

Generative AI provides superior contextual understanding, adaptability to new evasion tactics, and multi-dimensional analysis compared to traditional regex approaches for protecting brokerage business value.