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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

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Enhance your media search experience using Amazon Q Business and Amazon Transcribe

AWS Machine Learning - AI

Deploy the Mediasearch Q Business finder component The Mediasearch finder uses Amazon Cognito to authenticate users to the solution. For an authenticated user to interact with an Amazon Q Business application, you must configure an IAM Identity Center customer managed application that either supports SAML 2.0 or OAuth 2.0.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The Lambda wrapper function searches for similar questions in OpenSearch Service.

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Netlify Changelog October 2020

Netlify

Think personalization, localized content, custom authentication and so much more. Two-factor authentication adds additional protection for your Netlify account. Improved security when using OAuth. Creating an API with AWS: Lambda, DynamoDB, and API Gateway. Metrics-driven engineering. Request early access.

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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning - AI

If required, the agent invokes one of two Lambda functions to perform a web search: SerpAPI for up-to-date events or Tavily AI for web research-heavy questions. The Lambda function retrieves the API secrets securely from Secrets Manager, calls the appropriate search API, and processes the results.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning - AI

Built on AWS with asynchronous processing, the solution incorporates multiple quality assurance measures and is continually refined through a comprehensive feedback loop, all while maintaining stringent security and privacy standards. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning - AI

AWS makes it possible for organizations of all sizes and developers of all skill levels to build and scale generative AI applications with security, privacy, and responsible AI. This API layer is fronted by API Gateway, which allows the user to authenticate, monitor, and throttle the API request.