Azure Sentinel and Mindflow have partnered to enable users to automate their incident management and better protect their information systems.

Azure Sentinel Overview

Azure Sentinel is a security information and event management (SIEM) scalable, cloud-native solution for detection, visibility, hunting, and response. 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.

Azure 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.

It’s built within the whole environment of existing Azure services and incorporates some like Log Analytics and Logic Apps.

Azure Sentinel uses analytics to correlate alerts into incidents to reduce noise and minimize the number of incoming alerts. It also provides machine learning rules to map your network behavior to look for anomalies across your assets. You can Combine low-fidelity alerts about different entities into potential high-fidelity security incidents to detect threats.

You can use Azure Sentinel’s hunting search-and-query tools based on the MITRE framework. 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 first familiarize yourself with built-in hunting queries and then create custom detection rules to gather high-value insights into possible attacks.

Detect Threats

Azure Sentinel can detect threats and reduce false positives by using analytics and threat intelligence directly from Microsoft to correlate alerts into incidents. 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.

Microsoft security templates to automatically create a real-time form of alerts that generate in other Microsoft security solutions

Fusion template to create one rule enabled by default. It uses scalable machine learning to correlate many low-fidelity alerts and events across multiple products into high-fidelity and actionable incidents

Machine learning behavioral analytics template to create one rule with each type of template

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 Activities

Azure Sentinel reduces noise and hunts for security threats based on the MITRE framework. Its artificial intelligence capabilities help identify threats before an alert is triggered proactively.

Built-in queries to familiarize yourself with tables and the query language. Of course, you can create new queries or fine-tune existing ones

Powerful query language with intelligence built on top of a query language providing you with the flexibility needed for threat hunting

Create bookmarks of your findings during the hunt to check them later

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

Query the stored data associated and generated by Azure Sentinel is available and accessible in the form of tables that can be queried

Azure Sentinel Github’s community is a central place to find additional queries and data sources

Benefits

• Data aggregation: collect security data across your entire hybrid organization from devices, to users, to apps, to servers on any cloud. 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. Could-native, it offers nearly limitless cloud scale and speed to address your security needs
• Data normalization: reformat the data in the format you desire, allowing consistency in your log management and easier correlation. 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 
• Compliance: SIEM helps enterprises patch their IT environments and helps to regulate third-party access. Both could represent security holes and compliance failures if not properly secured
• Threat Detection and security alerting: When your solution detects a correlated security event, it can alert your IT security team to prompt investigation. It allows your teams to focus their efforts on specific problems. They can run your incident response plan and remediate the threat as quickly as possible 
• Filters the noise: Azure Sentinel uses state-of-the-art, scalable machine learning algorithms to correlate millions of low fidelity anomalies to present a few high fidelity security incidents to the analyst. 
• Built-in and custom queries: based on the MITRE framework, you can use built-in queries to familiarize yourself with the language or fine-tune your own to sharpen your threat hunting processes