Understanding the Question:
The question asks which tool is best for aggregating data from multiple systems to identify abnormal behavior.
Analyzing the Options:
A. Cyber threat intelligence:Provides information on potential threats but does not aggregate data from multiple systems for behavior analysis.
B. Anti-malware software:Focuses on detecting and removing malware, not aggregating data from multiple sources.
C. Endpoint detection and response (EDR):Monitors endpoints for suspicious activity but is more limited in scope compared to SIEM systems.
D. SIEM systems:Security Information and Event Management systems collect, aggregate, and analyze data from various sources to identify and respond to abnormal behavior.
SIEM Systems:SIEM systems are designed to aggregate and analyze security data from multiple sources such as network devices, servers, and applications. They provide real-time analysis of security alerts generated by hardware and software.
Functionality:SIEM systems use advanced analytics to correlate data from different sources and detect patterns that indicate abnormal behavior. This makes them highly effective in identifying and responding to security incidents.
[References:, CRISC Review Manual, Chapter 3: Risk Response and Reporting, mentions the importance of centralized monitoring systems like SIEM for effective risk management., , , , , , , , ]
