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Enhancing data privacy with layered authorization for Amazon Bedrock Agents
- Generative AI models adds new considerations in the threat model of an application.
- In this blog post, we discuss the current challenges faced when using generative AI services and how to overcome them using native solutions within Amazon Bedrock and layered authorization.
- Amazon Bedrock Agents can enrich data and make decisions based on input.
- Layered authorization is the practice of using multiple authorization checks across application components beyond the point of ingress.
- Amazon Verified Permissions is a fully managed authorization service that allows building more secure applications.
- Without proper security controls, a threat actor from one tenant could manipulate data belonging to another tenant.
- Using strong authentication and multi-factor authentication can govern access to invoke the agents at the API gateway.
- An additional layer can be added to the Lambda function triggered by invoking the agent.
- Verified Permissions must have pre-built policies to dictate how authorization should occur when data is being accessed.
- In this post, you will learn how AWS native services can enforce layered authorization and improve data protection for applications using Amazon Bedrock agents.
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