Mock sample for your project: Security Center API

Integrate with "Security Center API" from azure.com in no time with Mockoon's ready to use mock sample

Security Center

azure.com

Version: 2020-01-01


Use this API in your project

Speed up your application development by using "Security Center API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

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

Other APIs by azure.com

HybridComputeManagementClient

azure.com
The Hybrid Compute Management Client.

Database Threat Detection Policy APIs

azure.com
Provides create, read and update functionality for database Threat Detection policies.

StorageManagementClient

azure.com
The Admin Storage Management Client.

Ink Recognizer Client

azure.com
The service is used to perform ink layout and recognition of written words and shapes. Ink strokes passed to the service are recognized and organized into recognition results in the response

BatchManagement

azure.com

StorageManagementClient

azure.com
The Admin Storage Management Client.

Azure Stack Azure Bridge Client

azure.com

Personalizer Client

azure.com
Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

ContainerServiceClient

azure.com
The Container Service Client.

ContainerServiceClient

azure.com
The Container Service Client.

HybridDataManagementClient

azure.com

Machine Learning Workspaces Management Client

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

Other APIs in the same category

NetworkManagementClient

azure.com
The Microsoft Azure Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to manage your network resources. The API has entities that capture the relationship between an end user and the Microsoft Azure Networks service.

ApiManagementClient

azure.com
Use these REST APIs for performing operations on Quota entity associated with your Azure API Management deployment. To configure call rate limit and quota policies refer to how to configure call rate limit and quota.

Clever-Cloud API

clever-cloud.com
Public API for managing Clever-Cloud data and products

Amazon Kinesis Video Streams Archived Media

AWSKendraFrontendService

Amazon Kendra is a service for indexing large document sets.

Amazon CloudFront

Amazon CloudFront This is the Amazon CloudFront API Reference. This guide is for developers who need detailed information about CloudFront API actions, data types, and errors. For detailed information about CloudFront features, see the Amazon CloudFront Developer Guide.

Security Center

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

ServiceFabricManagementClient

azure.com
Azure Service Fabric Resource Provider API Client

Security Center

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

Amazon Elastic Block Store

You can use the Amazon Elastic Block Store (Amazon EBS) direct APIs to create Amazon EBS snapshots, write data directly to your snapshots, read data on your snapshots, and identify the differences or changes between two snapshots. If you’re an independent software vendor (ISV) who offers backup services for Amazon EBS, the EBS direct APIs make it more efficient and cost-effective to track incremental changes on your Amazon EBS volumes through snapshots. This can be done without having to create new volumes from snapshots, and then use Amazon Elastic Compute Cloud (Amazon EC2) instances to compare the differences. You can create incremental snapshots directly from data on-premises into volumes and the cloud to use for quick disaster recovery. With the ability to write and read snapshots, you can write your on-premises data to an snapshot during a disaster. Then after recovery, you can restore it back to Amazon Web Services or on-premises from the snapshot. You no longer need to build and maintain complex mechanisms to copy data to and from Amazon EBS. This API reference provides detailed information about the actions, data types, parameters, and errors of the EBS direct APIs. For more information about the elements that make up the EBS direct APIs, and examples of how to use them effectively, see Accessing the Contents of an Amazon EBS Snapshot in the Amazon Elastic Compute Cloud User Guide. For more information about the supported Amazon Web Services Regions, endpoints, and service quotas for the EBS direct APIs, see Amazon Elastic Block Store Endpoints and Quotas in the Amazon Web Services General Reference.

Amazon Elastic Container Registry Public

Amazon Elastic Container Registry Public Amazon Elastic Container Registry (Amazon ECR) is a managed container image registry service. Amazon ECR provides both public and private registries to host your container images. You can use the familiar Docker CLI, or their preferred client, to push, pull, and manage images. Amazon ECR provides a secure, scalable, and reliable registry for your Docker or Open Container Initiative (OCI) images. Amazon ECR supports public repositories with this API. For information about the Amazon ECR API for private repositories, see Amazon Elastic Container Registry API Reference.

Amazon Elastic File System

Amazon Elastic File System Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with Amazon EC2 instances in the Amazon Web Services Cloud. With Amazon EFS, storage capacity is elastic, growing and shrinking automatically as you add and remove files, so your applications have the storage they need, when they need it. For more information, see the Amazon Elastic File System API Reference and the Amazon Elastic File System User Guide.