What type of system collects data from multiple sources to identify correlations and generate alerts?

A security information and event management (SIEM) system is designed to aggregate and analyze data from various sources within an organization’s IT environment. By collecting logs and security-related documentation from multiple sources such as servers, network devices, domain controllers, and applications, a SIEM helps organizations identify potential security threats, track unusual activities, and analyze event correlations.

The core functionality of a SIEM includes real-time monitoring and alerting based on the correlations it has established through its analysis. For instance, if a SIEM detects unusual login attempts across a series of systems or detects an anomaly in user behavior that suggests a breach, it can quickly generate alerts for security teams to investigate further.

In contrast, a security orchestration automated response (SOAR) enhances incident response but does not primarily focus on data collection and correlation. It integrates various security tools and technologies to automate response actions based on predefined playbooks and may use data from a SIEM but does not itself gather data from multiple sources.

The Trusted Automated eXchange of Indicator Information (TAXII) is a protocol used for sharing cyber threat intelligence, rather than a system designed to analyze and correlate data for alerts.

Attack surface reduction (ASR) is a security measure aimed at minimizing vulnerabilities and