Microsoft Azure Cloud Security Monitoring
Proactively detect and respond to security threats within your Azure cloud environment with real-time visibility and advanced threat analytics.
Remove Azure Cloud Security Blind Spots
The rapid adoption of hybrid cloud environments makes it harder for organizations to stop unauthorized access to sensitive data in the cloud. Securonix Next-Gen SIEM enhances data security by monitoring all aspects of the cloud, including infrastructure, data sharing, enterprise applications, access management tools, and beyond.
Extend Detection and Response to Cloud Threats
Securonix analyzes possible security events to look for malicious activity. Through integrations with Azure Sentinel, Security Center, and Windows Defender, Securonix leverages Microsoft’s security infrastructure to collect all activity into a single source of truth.
Enhanced Security for Microsoft Azure Cloud
360 Degree Visibility
Correlate cloud security events with on-premises network data. Now, your security team has a holistic security picture.
Threat Detection
Decrease your time-to-detect with context-rich data insights and advanced threat chain analytics.
Data Insights
Visualize possible security events in your Azure environment with out-of-the-box and custom dashboards and reports.
Unmatched Azure Cloud Data Security and Seamless Integration
Integration
Use Cases
Threat Modeling
Integrate with Microsoft Azure
Securonix has built-in API integration with multiple Microsoft Azure components, collecting data from Microsoft Office 365, multiple Azure APIs, and the Microsoft Management and Reporting API.
Events collected include:
- Windows Defender and Azure Security alerts
- Azure AD, Azure access and identity management logs
- Azure administrative logs (instance creation, privilege changes, and others)
- Office 365, Windows Defender, and Azure Sentinel logs
- Azure AD authentication events
- Azure resource and service health
Cover Key Use Cases for Microsoft Azure
Securonix collects data from Microsoft Azure and enriches it with user and entity context. Enriched events are then analyzed for behavioral anomalies using various machine learning algorithms.
Common use cases include detecting:
- Suspicious instance and resource usage
- Account compromise or credential sharing
- Phishing attempts
- Suspicious email patterns
- Privileged account misuse
- Suspicious login events
- Advanced and insider threats
Detect Faster with Azure-specific Threat Models
Individual anomalies can be important, but finding patterns based on a series of anomalies is critical. Securonix uses behavior-based analytics to detect suspicious behaviors such as a rare login location or a spike in email forwards.
Direct API integration with Microsoft Office 365, Azure AD, and other cloud sources provides the Securonix solution with the relevant event logs. Securonix correlates events with contextual information from other on-premises data feeds, such as Active Directory watchlists. Securonix threat modeling then automatically stitches together related anomalies over a period to detect and prioritize high risk threats.
