Remove 2012 Remove APIs Remove Big data Remove Examples
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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

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The IoT Chronicles Part 2: Three Big Security Threats—and How to Solve Them

Avaya

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

APIs 72
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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

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Halo Smart Labs Develops a Smarter Smoke Alarm: IoT at It’s Best

Natalie Petouhof

. • Inability of traditional smoke detectors to connect to data centers about weather issues such as tornados, earthquakes, and floods. It was created in 2012 after a brush with tragedy. Inability of existing smoke detectors to deliver alerts when the house power connection is down. Why was Halo Smart Labs created?

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Define customized permissions in minutes with Amazon SageMaker Role Manager

AWS Machine Learning

For example, the data scientist persona uses the following ML activities: Run Studio Applications – Permissions to operate within a Studio environment. An example IAM policy for an ML administrator may look like the following code. For Role name suffix , give your role a name, for example, SageMaker-dataScientistRole.

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Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

AWS Machine Learning

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

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Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

If you need to establish a strong separation of security contexts, for example for different data categories, or need to entirely prevent the visibility of one group of users’ activity and resources to another, the recommended approach is to create multiple SageMaker domains. authorization process. Solution overview. Custom SAML 2.0