![]() Azure Sentinel uses Azure Monitor, which is built on a proven and scalable log analytics database that ingests more than 10 petabytes every day and provides a fast query engine Data normalization : reformat the data in the format you desire, allowing consistency in your log management and easier correlation.Could-native, it offers nearly limitless cloud scale and speed to address your security needs It uses the power of artificial intelligence to identify real threats quickly by eliminating the need to spend time setting up, maintaining, and scaling infrastructure. Data aggregation: collect security data across your entire hybrid organization from devices, to users, to apps, to servers on any cloud.Query the stored data associated and generated by Azure Sentinel is available and accessible in the form of tables that can be queriedĪzure Sentinel Github’s community is a central place to find additional queries and data sources Notebooks to automate investigation and create step-by-step guides summarizing all the steps involved in the hunting process into a reusable playbook shared with other members of your organization Powerful query language with intelligence built on top of a query language providing you with the flexibility needed for threat huntingĬreate bookmarks of your findings during the hunt to check them later Of course, you can create new queries or fine-tune existing ones Its artificial intelligence capabilities help identify threats before an alert is triggered proactively.īuilt-in queries to familiarize yourself with tables and the query language. Scheduled templates to create new rules that are customizable in terms of query logic and scheduling settings to make changes as per the requirements in the environment Investigate Suspicious ActivitiesĪzure Sentinel reduces noise and hunts for security threats based on the MITRE framework. Machine learning behavioral analytics template to create one rule with each type of template ![]() It uses scalable machine learning to correlate many low-fidelity alerts and events across multiple products into high-fidelity and actionable incidents Microsoft security templates to automatically create a real-time form of alerts that generate in other Microsoft security solutionsįusion template to create one rule enabled by default. It provides your teams with built-in templates to create threat detection rules and automate threat responses and also enables you to create custom rules. You can first familiarize yourself with built-in hunting queries and then create custom detection rules to gather high-value insights into possible attacks.Īzure Sentinel can detect threats and reduce false positives by using analytics and threat intelligence directly from Microsoft to correlate alerts into incidents. It enables you to hunt for security threats across your organization’s data sources instead of waiting for the alert to pop up. You can use Azure Sentinel’s hunting search-and-query tools based on the MITRE framework. You can Combine low-fidelity alerts about different entities into potential high-fidelity security incidents to detect threats. It also provides machine learning rules to map your network behavior to look for anomalies across your assets. It’s built within the whole environment of existing Azure services and incorporates some like Log Analytics and Logic Apps.Īzure Sentinel uses analytics to correlate alerts into incidents to reduce noise and minimize the number of incoming alerts. ![]() It collects data from different data sources and performs data correlation to deliver intelligent security analytics and threat intelligence across your enterprise in a dashboard.Īzure Sentinel lets you monitor your enterprise at a large scale, thus helping you alleviate the stress of various and sophisticated attacks, the sheer growth of alerts, and a longer time to remediate. Azure Sentinel OverviewĪzure Sentinel is a security information and event management (SIEM) scalable, cloud-native solution for detection, visibility, hunting, and response. Azure Sentinel and Mindflow have partnered to enable users to automate their incident management and better protect their information systems. ![]()
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