Operations security

Security information and event management (SIEM)

Aggregates and analyzes security data across cloud environments to detect threats, streamline incident management, and provide compliance reporting.

Centralizing security intelligence for cloud environments

Security information and event management (SIEM) is a comprehensive approach to security monitoring that combines security information management (SIM) and security event management (SEM) into a single system. For cloud security engineers, SIEM provides a centralized platform for collecting, analyzing, and correlating security data from various sources across cloud and hybrid environments.

SIEM systems ingest log data and security events from a wide range of sources, including cloud services, applications, network devices, and security tools. They then apply real-time analysis to this data, using techniques such as rule-based correlation, machine learning, and behavioral analytics to identify potential security threats or anomalies. This allows security teams to detect and respond to incidents more quickly and effectively.

In cloud environments, SIEM plays a crucial role in maintaining visibility and control across complex, distributed infrastructures. Modern SIEM solutions often offer cloud-native capabilities, such as integration with major cloud service providers' logging and monitoring services, support for containerized environments, and the ability to scale dynamically to handle large volumes of data. They also typically provide features for compliance reporting, helping organizations meet regulatory requirements by providing evidence of security controls and incident response capabilities in their cloud environments.

Product vendors

Cyware
Darktrace
Datadog
Elastic
Fortinet
Google
Hunters
Matano
Microsoft
Query
Rapid7
Trellix
Wazuh
X1F

Open-source projects

Wazuh
Comprehensive security monitoring platform for log analysis, threat detection, and compliance management.

Similar categories

Extended detection and response (XDR)
Unifies security data across multiple layers to improve the speed and accuracy of threat detection and incident response in cloud environments.
Security orchestration, automation, and response (SOAR)
Automates security operations from threat detection to response, improving incident management and overall security efficiency in cloud environments.
User behavior analytics (UBA)
Analyzes user behavior patterns to detect anomalies and potential security threats, enhancing insider threat detection in cloud environments.
Log management
Collects, stores, and analyzes log data from various cloud sources to support security monitoring, compliance, and troubleshooting efforts.