Amazon Bedrock Guardrails is a powerful tool designed to enhance safety and privacy when developing generative AI applications. Offering six configurable safeguards—such as content filters, denied topics, and sensitive information filters—it prevents unwanted content and aligns with responsible AI policies across various foundation models (FMs). As organizations scale their AI usage, they face threats like encoding-based attacks, where harmful content is disguised using methods like base64 or Morse code. Bedrock Guardrails employs a comprehensive defense-in-depth strategy to counter these risks while ensuring usability. It includes mechanisms for safeguarding LLM-generated outputs, detecting prompt attacks, and strict encoding policies through denied topics. This multi-layered approach not only protects against sophisticated bypass attempts but also balances performance and safety. Organizations can customize their security measures to meet specific needs, ensuring robust, scalable safeguards for responsible AI deployment. For further exploration, visit the Amazon Bedrock console.
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