Security information and event management (SIEM) software are used to give the cybersecurity professionals the records of different activities carried out in the IT department.
SIEM technology is used to combine security event managements, which provides threat monitoring, event correlation, and incident response to security information management. The security information management collects data, analyzes it, and reports on log data.
How SIEM works
The function of SIEM software is to collect log data and combines that data. The log data used by SIEM software is generated through the secure infrastructure, host system, application to network and security products used by the firm such as antivirus or firewall.
The software then identifies and categorizes incidents and events and analyzes them. The software provides a report on security-related incidents and events like successful and failed login, malicious activities, and malware. It also alerts the security team about activities that run against predetermined rule-sets.
Analytics and intelligence
Using SIEM technology has been trending these days, and the vendors are also introducing new features to it. The latest edition to SIEM is threat intelligence feeds to traditional log data. They also have security analytics capabilities that look after network and user behaviour to give more intelligence around.
SIEM technologies are developing, and it makes different innovations in the SEM market. In the coming further, it will be a better threat detection tool. The SIEM vendors are bringing in machine learning, advanced statistical analysis, and other analytic methods to their SIEM products. Some vendors also include artificial intelligence and deep learning capabilities.
SIEM products will use machine learning and AI to do interference and pattern-based monitoring and alerting about threats and malware.
SIEM tools and vendor selection
There are various dominant vendors in the SIEM market based on worldwide sales, which include IBM, Splunk, HPE, Alert Logic, Intel, LogRhythm, ManageEngine, Micro Focus, Solar Winds, and Trustwave and others.
The experts have suggested that before buying a product, firms should evaluate products according to their objectives and determine which products meet their needs. Firms should select products after evaluating the product capabilities such as reporting, threat hunting, data visualizations, and analyzing features. A good SIEM tools use machine learning, artificial intelligence, and deep learning for identifying and categorizing events, and incidents.