Mock sample for your project: Security Center API

Azure Feature Exposure Control (AFEC) provides a mechanism for the resource providers to control feature exposure to users. Resource providers typically use this mechanism to provide public/private preview for new features prior to making them generally available. Users need to explicitly register for AFEC features to get access to such functionality.

Fabric location operation endpoints and objects.

Creates an Azure Data Lake Analytics account management client.

These APIs allow end users to operate on Azure Machine Learning Workspace resources. They support CRUD operations for Azure Machine Learning Workspaces.

Microsoft.Intune Resource provider Api features in the swagger-2.0 specification

Billing client provides access to billing resources for Azure subscriptions.

The Run Commands Client.

APIs for managing software update configurations.

API spec for Microsoft.Security (Azure Security Center) resource provider

The Container Service Client.

Provides translation between one source language and another of the same set of languages.

Azure Blueprints Client provides access to blueprint definitions, assignments, and artifacts, and related blueprint operations.

Pinpoint SMS and Voice Messaging public facing APIs

The Amazon Chime SDK Messaging APIs in this section allow software developers to send and receive messages in custom messaging applications. These APIs depend on the frameworks provided by the Amazon Chime SDK Identity APIs. For more information about the messaging APIs, see Amazon Chime SDK messaging

Azure Application Insights client for Components.

Use these REST APIs for performing operations on User entity in Azure API Management deployment. The User entity in API Management represents the developers that call the APIs of the products to which they are subscribed.

Amazon GuardDuty is a continuous security monitoring service that analyzes and processes the following data sources: VPC Flow Logs, AWS CloudTrail event logs, and DNS logs. It uses threat intelligence feeds (such as lists of malicious IPs and domains) and machine learning to identify unexpected, potentially unauthorized, and malicious activity within your AWS environment. This can include issues like escalations of privileges, uses of exposed credentials, or communication with malicious IPs, URLs, or domains. For example, GuardDuty can detect compromised EC2 instances that serve malware or mine bitcoin. GuardDuty also monitors AWS account access behavior for signs of compromise. Some examples of this are unauthorized infrastructure deployments such as EC2 instances deployed in a Region that has never been used, or unusual API calls like a password policy change to reduce password strength. GuardDuty informs you of the status of your AWS environment by producing security findings that you can view in the GuardDuty console or through Amazon CloudWatch events. For more information, see the Amazon GuardDuty User Guide .

Use this API to manage the IoT hubs in your Azure subscription.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.