In order to do the mapping to Azure you will need to understand how to create the workbooks and then upload them properly so they display in Azure Sentinel. | Azure Sentinel, a Microsoft SIEM security solution, is a leading and incredible tool to safeguard enterprises against security threats. On the other side of the equation, you have Workbooks in Azure Sentinel / Log Analytics / Azure Monitor. Other. You need to make sure that you have the appropriate tools and level of protection. Analyze some data in Microsoft Sentinel, such as cloud data, and then send the generated alerts to a legacy SIEM. Alerts are queries that when the query hits a set of targets, will execute one or more Alert Actions. Unlike traditional SIEMs, it unburdens security operations teams from the stress of spending time setting up, maintaining, and scaling infrastructure. This article discusses how to identify SOAR use cases, and how to migrate your Splunk SOAR automation to Microsoft Sentinel. Monitor the performance of your playbooks using the, Use managed identities and service principals: Authenticate against various Azure services within your Logic Apps, store the secrets in Azure Key Vault, and obscure the flow execution output. In Microsoft Sentinel, go to the Configuration > Analytics > Rule templates tab, and create and update each relevant analytics rule. Who are your stakeholders in the migration? Consider whether an online query converter such as Uncoder.io might work for your rules. Identify and analyze your current use cases by threat, operating system, product, and so on. It can take few minutes for events to be available. Splunk to Sentinel Migration Part VI Users and Permissions, Part III Lookups, Source Types and Indexes, Splunk to Sentinel Migration Part V Reports and Dashboards, Splunk to Sentinel Migration Part IV Searches, Splunk to Sentinel Migration Part III Lookups, Source Types and Indexes, Splunk to Sentinel Migration Part II Alerts and Alert Actions, Type 10: MetricsItem Metric from Log Analytics. Splunk, Splunk>, Turn Data Into Doing, and Data-to-Everything are trademarks or registered trademarks of Splunk Inc. in the United States and other countries. A tag already exists with the provided branch name. you will probably have to deliver the side-by-side for a while until your security team will be more comfortable working within the new SIEM (Azure Sentinel). In Microsoft Sentinel, go to the Configuration > Analytics > Rule templates tab, and create and update each relevant analytics rule. Prepare a validation process for your migrated rules, including full test scenarios and scripts. In the next post, we will explore how permissions work (well they kinda work, as I mentioned in earlier posts its the weakest part of Sentinel at the moment). SelectSend to Azure Sentinelaction, which appears after you install the Azure-Sentinel add-on as shown in the diagram below. The table name aligns with the log name provided in the Figure 4 above. Cannot retrieve contributors at this time. Uncoder.iois SOC Primes free tool for SIEM search language conversion. Ensure that your team has useful resources to test your migrated rules. Your team might have an overwhelming number of detections and use cases running in your current SIEM. Run playbooks for use cases that need more complex automation tasks. Microsoft Sentinel constantly adds new connectors and actions that can help you to further simplify or increase the effectiveness of your current response implementations. Once you have analytics rules, you can monitor incidents and respond to threats rapidly with automatic actions and built-in orchestration using automatic Playbooks that have SOAR capabilities for containment, enrichment, integration to an ITSM, or any other custom automated incident response. For instance, exporting just one on-demand search through Splunk Web might be adequate for a low-volume export. Identify your rule criteria and logic. In order to do the mapping to Azure you will need to understand how to create the workbooks and then upload them properly so they display in Azure Sentinel. When migrating detection rules to Sentinel, there are things you need to consider as you identify your current detection rules. Consider filters, correlation rules, active lists, reference sets, watchlists, detection anomalies, aggregations, and so on. Your security operations team uses SIEM and SOAR solutions to safeguard your increasingly decentralized digital space. The guide provides generic steps to identify the right rules to migrate, a comparison of rule terminology between the two SIEMs, and in-depth instructions on how different rule structures can be migrated to Microsoft Sentinels Kusto Query Language (KQL). Based on Splunk Add-on Builder here, I created an add-on which trigger an action based on the alert in Splunk. For some scenarios it makes sense to use data from 3rd Party SIEMs for correlation with available data sources in Azure Sentinel, also Sentinel can be used as single pane of glass to centralize all incidents (generated by different SIEM solutions) and finally you will probably have to deliver the side-by-side for a while until your security team will be more comfortable working within the new SIEM (Azure Sentinel). lightbox="media/migration-splunk-automation/splunk-sentinel-soar-workflow-new.png" border="false"::: |Step (in diagram) |Splunk |Microsoft Sentinel | Confirm that you have any required data sources connected, and review your data connection methods. Here's an example with the join statement: Here's an example with the make_list statement: In this article, you learned how to map your migration rules from Splunk to Microsoft Sentinel. Define test scenarios and build a test script. For example, you select a target platform that can ingest 1 GB per second, and you have to migrate 100 TB. Splunk Add-on Builder uses Python code to create your alert action, here is the code I used within the Add-on: https://docs.microsoft.com/en-us/azure/azure-monitor/platform/data-collector-api#python-3-sample. Learn more about. |1 |Ingest events into main index. Use these samples to compare and map rules from Splunk to Microsoft Sentinel in various scenarios. This involve finetuning. To simplify the process, we provide: Many customers are required to keep their historical data for compliance and/or regulatory reasons. Can you apply a methodology to prioritize use cases? Returns the current time, represented in Unix time. Review any rules that haven't triggered any alerts in the past 6-12 months, and determine whether they're still relevant. In Azure workbooks, they are defined by JSON and have up to 11 different types of "items". Access timely security research and guidance. Learn more about best practices for migrating detection rules. I may dig into the details of this a bit later in another blog post once Im more comfortable with the add-on myself. Confirm connected data sources and review your data connection methods. As you implement Microsoft Sentinel components according to the design phase, and before you convert your entire infrastructure, consider whether you can use Microsoft Sentinel out-of-the-box content instead of migrating all components. Also consider this nice initiative from Alex Teixeira: We just walked through the process of standing up Azure Sentinel Side-by-Side with Splunk. Splunkbase has an add-on for Azure Sentinel customers called simply: Azure Sentinel Add-On for Splunk. Ensure that the file system and share permissions on the target host are correct and allow access for the user that runs Splunk Enterprise. When you move index files between these operating systems, you must confirm that the path separator you use is correct for the target operating system. As mentioned at the beginning of this blog, Azure Sentinel can be used as single pane of glass to centralize all incidents (generated by different SIEM solutions). But if you plan to set up a higher-volume export, REST and SDK options are more efficient. If neither the built-in rules nor an online rule converter is sufficient, you'll need to create the rule manually. 2008-2023 | 'Agile IT', 'Adaptive, Responsive, Strategic', 'We Make IT Easy' and 'Your Agile Technology Partner for Your Agile Business' Trademarks of Agile IT, Inc. Mergers, Acquisitions and Divestitures Consulting, Government Cloud Managed Services & GCC High, 61% of businesses cite cybercrime and data theft as the greatest threat to their reputation, Investigation of threats and security incidents. We also looked at the concept of converting SPL to KQL. Returns the average of the values of field, Returns the number of occurrences of the field, Returns the count of distinct values of the field, Returns the chronologically earliest seen value of, Returns the chronologically latest seen value of, Returns the middle-most value of the field, Returns the most frequent value of the field, Returns the difference between the maximum and minimum values of the field, Returns the sample standard deviation of the field, Returns the population standard deviation of the field, Returns the sum of the values of the field, Returns the sum of the squares of the values of the field, Returns the list of all distinct values of the field. We hope you find the migration guide resourceful. Otherwise, register and sign in. This function returns the character length of a string. Azure Sentinel offers built-in machine learning rules and correlation rules to help map your networks behavior and detect suspicious activities, but it will need tuning within your system to obtain maximum value. Adds field values from an external source. In most of the environment Splunk is stable and running for more than 5-6 years. Enter your email address to follow this blog and receive notifications of new posts by email. Generates summary statistics from fields in your events and saves those statistics in a new field. Automate responses for several analytics rules at the same time. Once you have this figured out, you now need to upload the workbook. When you migrate a Splunk Enterprise instance, note the following. Returns results in a tabular output for time-series charting. Export your historical data. This is one of the pillars where we have focused on migration from ArcSight, Splunk and QRadar. To address this, we have builtthis articleto help security analysts update their SOC and processes when migrating to Microsoft Sentinel. Most of the playbooks that you use with Microsoft Sentinel are available in either the Automation > Templates tab, the Content hub catalog, or GitHub. https://github.com/Keshav1308/Migration-Assist/blob/main/SampleQueries. What drives your priorities? In one case, being able to perform a more comprehensive migration and relieve themselves of that big contract cost burden, and in the other case, to use both more intelligently. In this Blog post we want to focus more on how Azure Sentinel can consume security telemetry data directly from a 3rd Party SIEM like Splunk. Furthermore, you can automatically scale Azure Sentinel service to suit your enterprise security needs at any given time. To convert your custom playbook into a portable ARM template, you can use the ARM template generator. Planning the migration is a critical initial phase in the overall migration project. An actual migration may not include some phases or may include more phases. Azure Sentinel leverages scalable machines built with learning algorithms to discern anomalies and forward them to analysts. Heres a short introduction to the content: We understand adopting a new technology can be challenging. All other brand names, product names, or trademarks belong to their respective owners. Once the deployment is completed this can be removed. Build-in workbooks allow you to evaluate the data immediately, while custom and interactive workbooks enable you to view the data as you wish. Adds field values from an external source. |Microsoft Sentinel can automatically group incidents according to user-defined criteria, such as shared entities or severity. Check it out and let me know what you think. A good starting place is to look at which detections have produced results within the last year (false positive versus positive rate). We also recommend that you. }); Save my name, email, and website in this browser for the next time I comment. These alerts then generate incidents. Special thanks:@Javier Soriano,@Jeremy Tan,@Hesham Saad,@Sreedhar Ande,@Matt_Lowe,@BindiyaPriyadarshini, @Inwafula,@umnagdev, @LimorWainstein,@chaitra_satishfor all the content you contributed! What are the most critical infrastructure components, systems, apps, and data in your business? In addition, it responds to threats and breaches and limits the time taken to recognize them. We tried uncoder.io but even that is not helpful to 1%. You might use references provided by your legacy SIEM to understand how to best map your query syntax. Therefore, most businesses are leveraging Azure Sentinel as an all-in-one solution in the network security sector. When a correlation search included in the Splunk Enterprise Security or added by a user, identifies an event or pattern of events, it creates an incident called notable event. Migration to Microsoft Sentinel made easy, Plan your Migration to Microsoft Sentinel, Comparison between the automation workflows of SOAR platforms with Microsoft Sentinel. For more information, see Detect threats out-of-the-box. The phases in this diagram are a guideline for how to complete a typical migration procedure. Do you have the skills you need? In Splunk home screen, on the left side sidebar, click "+ Find More Apps" in the apps list, or click the gear icon next to Apps then select Browse more apps. Preparation Steps in Splunk Registration of an application in Azure AD Configuration Steps in Splunk Using of Azure Sentinel alerts in Splunk Onboard Azure Sentinel Generates summary statistics from fields in your events and saves those statistics in a new field. Read focused primers on disruptive technology topics. Follow your migration process through this series of articles, in which you'll learn how to navigate different steps in the process. Therefore, don't migrate all of your detection and analytics rules blindly. Otherwise, Splunk Enterprise does not start. Review indexes.conf on the old host to get a list of the indexes on that host. As always, feel free to provide feedback and share your experience with us below! Microsoft Azure Sentinel leverages machine learning analytics to provide actionable and high-fidelity incidents. After the migration we need to make sure that both the tools are generating same number of the incidents and collecting same amount of data. The guide provides information, processes, and navigation tips to migrate from three major third-party SIEMs (ArcSight, Splunk and QRadar) to Microsoft Sentinel. Is your security staff trained and ready for the migration? SOC team expects same number of incidents generated in Splunk. You can enable one or more alert actions. Returns date with the month and day numbers switched. [!div class="nextstepaction"] Heres what you need to think about when migrating SOAR use cases from Splunk. According to a data breach study from IBM,61% of businesses cite cybercrime and data theft as the greatest threat to their reputation. 0 Likes Reply For instance, while the recommended model is to run a side-by-side model just long enough to finish a transition to Azure Sentinel, your business may want to maintain the side-by-side configuration for longer such as when you arent ready to migrate from your existing SIEM. Prepare a validation process for your migrated rules, including full test scenarios and scripts. In this case, your migration will take a minimum of 100,000 GB, multiplied by . Use existing functionality, and check whether Microsoft Sentinels. Now that we have the basics in place, its time to approach some of the harder topics that one would run into during a migration. If rules arent available or cant be converted, they need to be created manually, using a KQL query. You can use Alert actions to define third-party integrations (like Azure Sentinel) or add custom functionality. Our team can help you simplify your cybersecurity management through license and vendor consolidation and fully integratedXDR. Microsoft Sentinel uses machine learning analytics to create high-fidelity and actionable incidents, and some of your existing detections may be redundant in Microsoft Sentinel. Perform simple automation tasks without necessarily using playbooks. |. This article describes how to identify, compare, and migrate your Splunk detection rules to Microsoft Sentinel built-in rules. Sharing best practices for building any app with .NET. It gives external and internal security teams a wide range of tools to enhance security operations. Migrating Splunk to sentinel is a bit tedious and complex process. This diagram describes the high-level phases that a typical migration includes. Let's get started! With automation rules, you can: Security is of paramount importance to your organisation. Here are some examples: Type 1: KqlItem- HTML\Text Type 3: KqlItem - Query You can migrate a Splunk Enterprise instance from one server, operating system, architecture, or filesystem to another, while maintaining the indexed data, configurations, and users. Installing splunk stream in virtual host and captu Should we have Splunk deployment server and cluste Is it possible to pull a diag from a Splunk Cloud Hi i need to do splunk up gradation. Stay tuned for more Side-by-Side details in our blog channel. you will probably have to deliver the side-by-side for a while until your security team will be more comfortable working within the new SIEM (Azure Sentinel). It empowers security operations teams and enhances the security position to address todays challenges of security analytics. The benefits of migrating to Azure Monitor include: Fully managed, Software as a Service (SaaS) platform with: Automatic upgrades and scaling. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise. Set up alert actions, which can help you respond to triggered alerts. This is not a deep, beefy blog post, but more of an announcement post for those that have been wanting an easier way to get Splunk data into Azure Sentinel to tie the two systems together. Please select Provides statistics, optionally grouped by fields. The data collected across different sources like devices, users, infrastructure, and applications, including on-premises and in multiple cloud components, flows into Azure Log Analytics. Your Splunk Enterprise installation is on 32-bit architecture, and you want to move it to a 64-bit architecture for better performance. You might need to rename individual bucket directories after you move them from the source system to the target system. Consider filters, correlation rules, active lists, reference sets, watchlists, detection anomalies, aggregations, and so on. When you're satisfied, you can consider the rule migrated. To validate the integration, the audit index is used as an example, for an _audit- this repository stores events from the file system change monitor, auditing, and all user search history. If rules arent available or cant be converted, they need to be created manually, using a KQL query. This is where things become very much like migrating a non-SharePoint CMS to Sharepoint (which I have done many to many instances of with a high performance tool I created called PowerStream). No, Please specify the reason | Do any issues affect migration planning and scheduling? Removes subsequent results that match a specified criterion. Review these key considerations for each phase.