Unlocking the Power of ChatGPT for Incident Management: A Step-by-Step Guide to Integrating with Microsoft Sentinel

Thank you for the love and feedback on my previous article. This weekend, I had several ideas for topics to write about but was particularly curious about the integration of ChatGPT with Microsoft Sentinel. I am thrilled to share my expertise on how to seamlessly integrate ChatGPT with Microsoft Sentinel for incident management. Integrating ChatGPT with Microsoft Sentinel for incident management offers numerous benefits such as automating responses, providing accurate and timely answers, and streamlining incident management workflow. Below is a step-by-step guide on how to achieve this integration:

Step 1: Obtaining an API Key for ChatGPT Integration with Microsoft Sentinel

The initial step in utilizing ChatGPT for incident management is to acquire the API. This can be done by visiting the OpenAI API website, creating an account and obtaining an API key. This key will enable access to the ChatGPT model via the OpenAI API, allowing for its integration with Microsoft Sentinel. To begin this process, navigate to the OpenAI website (https://beta.openai.com/account/api-keys) and sign up for an account.

After signup create a secret key and copy the API key in notepad.

Step 2: Creating a Playbook for ChatGPT Integration with Microsoft Sentinel

The next step is to create a Playbook. For creating playbook, go to the Azure portal and navigate to the “Microsoft Sentinel” and follow the steps shown in the below screenshot to create a playbook that will trigger based on Incident.

Fill in the necessary information for the Logic App, such as the name, subscription, resource group etc., and click on Next:Connections

After that click on Next and click on Create and continue to designer

In the Logic App Designer, you will need to choose the OpenAI connector (Independent Publisher) (Preview) in order to integrate ChatGPT with the playbook. Once you have selected the OpenAI connector, navigate to the “Actions” section and select GPT3 Completes your prompt (preview). This will allow you to use the ChatGPT model to complete the prompts you have set in the playbook.

After selecting the OpenAI connector and GPT3 Completes your prompt (preview) action in the Logic App Designer, you will need to provide a connection name and API key. The API key is required to access the ChatGPT model via the OpenAI API. It is important to format the key correctly by including the word “Bearer” followed by a space before pasting the key. The final format will be “Bearer sk******************eL06C”. Make sure that paste the API in correct format that i given in the above example so playbook can access the ChatGPT model as intended.

In the Logic App Designer, you will need to provide a prompt for the incident management. The prompt should be a clear and concise question or action that describes the incident management you want to accomplish. For example, you could write “Help me with incident management for (Incident Title) where the incident description is (Incident Description) and the incident entities are (Entities)”. This prompt will be used by the ChatGPT model to complete the action or provide an answer. Make sure to include all the necessary information in your prompt so that the ChatGPT model can provide a complete and accurate response.

Once the prompt has been provided and the ChatGPT model has responded, it is important to record the response in the incident comment section. To do this, you will need to add the “Add comment to Incident” action to the Logic App Designer. By adding this action, the ChatGPT response will be automatically recorded in the incident comment section for future reference and review. It is important to use this action to ensure that the ChatGPT response is recorded and can be accessed later on.

Step 3: Assigning the Microsoft Sentinel Responder Role for ChatGPT3-Playbook

After that assign the Microsoft Sentinel Responder role to the managed identity of the logic app “ChatGPT3-Playbook”. This role will allow the playbook to comment the ChatGPT response in the Incident comment section.

Step 4: Testing and Evaluating the ChatGPT3-Playbook for Incident Management

After assigning the role, test the playbook on an incident to ensure that the response is properly recorded in the incident comment section. This will give you the confidence that the playbook is set up correctly and can be used for incident management. Testing the playbook with a real incident will help you to evaluate the results of the ChatGPT response and make sure it is accurate and useful.

Result:

It’s important to understand that this guide is a basic introduction to the process of integrating ChatGPT with Microsoft Sentinel for incident management that I created today and it require further modifications and adjustments to suit the specific needs and requirements of your organization. Despite this, the purpose of this guide is to provide a general overview of the process of integrating ChatGPT with Microsoft Sentinel, and it should be tested thoroughly before being implemented in production environment.

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