AI Screenshot Insights as an Azure Managed Application: A Secure Way to Deploy AI Applications

Introduction

AI Screenshot Insights is a powerful app for Jira that leverages advanced artificial intelligence techniques to swiftly extract text from attachments and get the most important insights from the extracted text like username or URL, saving precious time for Jira users and agents. As an Azure Managed Application, it offers a secure and efficient way to deploy and operate this AI solution.

Positioned on Azure, a leading cloud platform, AI Screenshot Insights ensures a seamless, scalable, and secure deployment, unlocking the full potential of this remarkable AI tool. As a managed application, it brings one of the most secure deployments of AI in ITSM.

What is AI Screenshot Insights?

AI Screenshot Insights is an application that uses Optical Character Recognition (OCR) based on Azure Computer Vision. With a simple click, it can extract text from screenshots and get the most important insights from the extracted text, making the contents easily searchable and analyzable. It supports more than 160 languages, including text lines with mixed languages and handwritten text.

What is an Azure Managed Application?

Azure Managed Applications enable you to offer cloud solutions that are easy for customers to deploy and operate. As a publisher, you implement the infrastructure and can provide ongoing support. The resources are deployed to a managed resource group that’s managed by the application’s publisher or by the customer.

Security in Azure Managed Applications

Azure Managed Applications function in a unique and secure manner that emphasizes both ease of use and control for the customer. The process begins when the publisher, who is the creator of the application, publishes it to the Azure Marketplace. This marketplace is a service on the Azure platform that functions as a sort of “app store” for cloud services and applications. It’s a central hub where customers can find, try, purchase, and provision applications and services from both Microsoft and third-party providers.

The key aspect of this process is that once the application is downloaded, it runs completely in the customer’s environment. This means that all the data processed by the application, all the operations it performs, and all the resources it uses are confined within the customer’s own Azure environment. This is a significant advantage in terms of security and control.

The customer doesn’t have to worry about their data being processed or stored in an external system or location. They don’t have to rely on the publisher to ensure the security of their data. Instead, the security of the application and its data is governed by the security measures and controls that the customer has implemented in their own Azure environment. This includes Azure’s built-in security features, as well as any additional security measures the customer has put in place.

In addition, running the application in the customer’s environment means that the customer has full control over the application and its operation. They can manage the application’s resources, monitor its performance, and troubleshoot any issues that arise. They can also integrate the application with their other systems and services in their Azure environment, making it a seamless part of their overall IT infrastructure.

In conclusion, Azure Managed Applications offer a very secure way to deploy applications. By running completely in the customer’s environment, they ensure that the application and its data remain within the customer’s control, providing peace of mind and enabling efficient and secure operation. This makes Azure Managed Applications an ideal solution for deploying AI applications like AI Screenshot Insights. They provide the power and capabilities of advanced AI, combined with the security and control of Azure.

Deploying AI Screenshot Insights as an Azure Managed Application

Deploying AI Screenshot Insights as an Azure Managed Application involves several steps:

  1. Log in to the Azure portal and search for AI Screenshot Insights on Azure Marketplace
  2. Choose a plan depending on how many users will use the app and click Create

This will create a Service catalog-managed application definition in your Azure subscription, continue by clicking “Deploy from definition”

  1. In the next step, choose region and unique names for the Azure resources and create them
  2. Lastly set the endpoint and keys for the resources in the Jira app configuration

You can contact us at support@sykorait.com if you run into any problems.

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Conclusion

Deploying AI Screenshot Insights as an Azure Managed Application provides a secure and efficient way to leverage the power of AI in your organization. It offers a high level of security, flexibility, and control over the application and its resources. This makes it an ideal solution for businesses looking to deploy AI applications in a secure and manageable way.

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