Cybersecurity nowadays has become a major feature for tech companies. As technology advancements have been made, many aspects of cybersecurity threats have also risen. Such threats start creating risks for IT departments. To overcome the cybersecurity risks, machine learning in combination with Artificial Intelligence provides the necessary solution to the problems posed by the potential threats.
Azure Sentinel is a cloud-native solution providing organizations with SIEM (Security Incident and Event Management) and SOAR (Security Orchestration and Automated Response) services. SIEM software provides the security teams with an in-depth analysis of their cybersecurity threat environment. A modern-day SIEM identifies potential threats using advanced AI and security analytics.
SOAR is a solution to integrate both disparate security tools as well as the cybersecurity incident management processes using automation. As an example, a SOAR can perform automated collection of contextual cybersecurity data from the following sources:
- Azure Active directory
- Office 365
- Security center
- Amazon web service
Such technology provides cybersecurity teams with the capability to respond more effectively to ever-growing threats and sophisticated attacks.
Although SIEM products have been on the block for over a decade now, previously these were not ideal for small to mid-sized (SMB) organizations. Azure Sentinel changes that. It provides a bird’s-eye view for the entire IT cloud of your organization to speed up detection of threats, reduce time and cost required to contain and mitigate cyberattacks.
Azure Sentinel Processes
- Collecting data from multiple clouds and on-premise network and infrastructure.
- Detecting and corelating previously unidentified cyber threats.
- Using artificial intelligence to investigate the root of threats.
- Implementing a response to the detected threats.
Connecting Data to Azure Sentinel
After the installation of Azure Sentinel, the first and foremost thing is to interface it throughout the data sources of your organization. Azure Sentinel supports both Microsoft and Non-Microsoft solutions to enable real-time threat protection.
Data Connection Methods
There are various methods of connecting data with Azure Sentinel:
Service to service integration
Some services are directly compatible with Azure Sentinel and provide out of the box solutions to Azure Sentinel-like Microsoft or AWS.
External solutions via API
The services that cannot be directly connected to the Azure Sentinel are connected with the help of API. The application programming interface allows two apps to communicate with each other.
External solutions via Agents
Through Syslog or CEF, Azure Sentinel can be connected to data sources using native agents. Applications and systems send messages via agents that contain data information for application and system logs.
Data Visualization and Monitoring
Once the data sources are connected, you can start visualizing and monitoring your data from different sources using Azure Sentinel Monitor workbooks. Through the monitoring workbooks, you can create versatile dashboards for monitoring different data sources.
You also get detailed insights into the data across all your IT landscape.
- You can use built-in workbooks.
- Create new custom workbooks.
- Use workbooks to perform guided investigations.
You need to have permission to use the workbook reader from the resource group in Azure Sentinel.
Analytics & Operations
Azure Sentinel removes the noise from alerts to form incidents. This is how you minimize threat alerts and maximize the resolution of possible threats. Incidents can be resolved through investigation using machine learning maps available in Azure Sentinel.
Such analytical functions are provided through connection methods either with API’s or agents between different applications and Azure Sentinel.
Many time-consuming, error-prone manual tasks involved in investigating and resolving cyberattacks can be greatly simplified with SOAR capabilities of Azure Sentinel using playbooks implemented in Azure Logic Apps. These built-in playbooks are used to enable scalable automation as more and more threats emerge. The existing playbooks provide services of hundreds of applications through connectors.
Azure Sentinel enables cybersecurity teams to investigate the root causes of potential threats in your environment. Cyber threats are investigated by drilling down using Kusto Query Language (KQL) to query any entity involved in a cybersecurity alert.
This is based on the MITRE framework through which threat defenders and hunters can assess a potential threat to an organization by analyzing a comprehensive matrix of threats and techniques. A cybersecurity analyst uses the search and query tools of Azure Sentinel to actively hunt for threats involving multiple data sources.
Azure Sentinel Functions
- Gather threat signals t cloud scale across users, devices, applications, and infrastructure, both on-premises and in multiple clouds.
- Minimize false positives using Microsoft’s analytics powered by KQL.
- Investigate threats with artificial intelligence using built-in and custom algorithms.
- Respond to incidents rapidly with built-in orchestration and automation of common tasks.
Why choose Azure Sentinel?
Azure Sentinel provides industry-leading threat detection and mitigation services to help cybersecurity teams detect incidents and threats when they happen and solve them as effectively as possible.