Showing only posts tagged Amazon Bedrock Guardrails. Show all posts.

Extend Amazon Bedrock Guardrails to Tool Interactions Using the Strands Agents SDK

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If you’re running AI agents in production, Amazon Bedrock Guardrails protects the model boundary. But your agents also invoke tools, fetch external data, and communicate with other systems. That data flows outside the model boundary, where model-level guardrails can’t reach. You can extend guardrail coverage to those …

Route Amazon Bedrock Guardrails interventions to Amazon Security Lake

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Security teams investigating AI-related incidents need guardrail intervention data alongside their existing security telemetry. Routing Amazon Bedrock Guardrails violations to Amazon Security Lake makes this possible. With this integration, you can query guardrail events alongside identity, network, and application security data in a single layer. When a guardrail blocks …

Designing for the inevitable: System prompt leakage and mitigations in generative AI applications

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System prompts form the foundation of generative AI applications. A system prompt is a collection of instructions and operational context provided to a large language model (LLM) that shapes how the model behaves and interacts with users and tools. System prompts often contain proprietary information, including role definitions, behavioral …

Building AI defenses at scale: Before the threats emerge

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At AWS, we’ve spent decades developing processes and tools that enable us to defend millions of customers simultaneously, wherever they operate around the world. Every day, our security and threat intelligence teams are doing work with AI and automation that most people never see. Our AI-powered log analysis …

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

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Amazon Bedrock Guardrails provides configurable safeguards to help you safely build generative AI applications at scale. It offers integrated safety and privacy protections that work across multiple foundation models (FMs), including models available in Amazon Bedrock and models hosted outside Amazon Bedrock from other providers. Bedrock Guardrails currently offers …

Defending LLM applications against Unicode character smuggling

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When interacting with AI applications, even seemingly innocent elements—such as Unicode characters—can have significant implications for security and data integrity. At Amazon Web Services (AWS), we continuously evaluate and address emerging threats across aspects of AI systems. In this blog post, we explore Unicode tag blocks, a …