Protect your generative AI applications against encoding-based attacks with Amazon Bedrock Guardrails

The article discusses how Amazon Bedrock Guardrails protects generative AI applications against encoding-based attacks that attempt to bypass safety controls.

• Encoding attacks disguise harmful content by using methods like base64, hexadecimal, ROT13, and Morse code
• Amazon Bedrock Guardrails offers a three-layer defense strategy:
  • Safeguarding against LLM-generated outputs
  • Prompt attack detection for encoded outputs
  • Zero-tolerance encoding detection using denied topics
• Key features include content filters, denied topics, and prompt attack filters
• Recommended to use Standard tier for higher accuracy and expanded language support
• Organizations can customize guardrails to match their specific security requirements

The solution provides a balanced approach to protecting AI applications from sophisticated encoding attacks while maintaining usability.