Recently, AWS released Amazon Bedrock API keys to make calls to the Amazon Bedrock API. In this post, we provide practical security guidance on effectively implementing, monitoring, and managing this new option for accessing Amazon Bedrock to help you build a comprehensive strategy for securing these keys. We also …

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 …

Amazon Bedrock has simplified how you access foundation models, streamlining the integration of AI capabilities into your applications. Here’s what’s changed and how to maintain control over model access in your organization. What’s new: Simplified model access Amazon Bedrock now provides automatic access to the serverless …

As generative AI becomes foundational across industries—powering everything from conversational agents to real-time media synthesis—it simultaneously creates new opportunities for bad actors to exploit. The complex architectures behind generative AI applications expose a large surface area including public-facing APIs, inference services, custom web applications, and integrations with …

In Part 1 of this series, we explored the fundamental risks and governance considerations. In this part, we examine practical strategies for adapting your enterprise risk management framework (ERMF) to harness generative AI’s power while maintaining robust controls. This part covers: Adapting your ERMF for the cloud Adapting …

According to BCG research, 84% of executives view responsible AI as a top management responsibility, yet only 25% of them have programs that fully address it. Responsible AI can be achieved through effective governance, and with the rapid adoption of generative AI, this governance has become a business imperative …

Organizations are increasingly using large language models (LLMs) to provide new types of customer interactions through generative AI-powered chatbots, virtual assistants, and intelligent search capabilities. To enhance these interactions, organizations are using Retrieval-Augmented Generation (RAG) to incorporate proprietary data, industry-specific knowledge, and internal documentation to provide more accurate, contextual …

Amazon Cognito is a managed customer identity and access management (CIAM) service that enables seamless user sign-up and sign-in for web and mobile applications. Through user pools, Amazon Cognito provides a user directory with strong authentication features, including passkeys, federation to external identity providers (IdPs), and OAuth 2.0 …

In part 2 of this series, we showed you how to use Amazon SageMaker Studio notebooks with natural language input to assist with threat hunting. This is done by using SageMaker Studio to automatically generate and run SQL queries on Amazon Athena with Amazon Bedrock and Amazon Security Lake …

Amazon Web Services (AWS) is pleased to announce the release of new Security Reference Architecture (SRA) code examples for securing generative AI workloads. The examples include two comprehensive capabilities focusing on secure model inference and RAG implementations, covering a wide range of security best practices using AWS generative AI …

Generative AI applications often involve a combination of various services and features—such as Amazon Bedrock and large language models (LLMs)—to generate content and to access potentially confidential data. This combination requires strong identity and access management controls and is special in the sense that those controls need …

In part 1 of this blog series, we walked through the risks associated with using sensitive data as part of your generative AI application. This overview provided a baseline of the challenges of using sensitive data with a non-deterministic large language model (LLM) and how to mitigate these challenges …