Purpose and Functions of Event and Log Management

The pressure of regulatory compliance is driving many IT units to be more diligent towards collecting and saving event logs. However, true value of this log is not limited to passing audit checks but goes much beyond that. Most of the IT professionals as well as system administrators keep updated information on log files and analyze them to pinpoint the real cause of a technical issue. Many monitoring tools are based on the simple concept that the solution to a certain problem is actually contained in the event stream.

With more complications coming on the forefront of IT system architecture, a scalable event and log management tool feels a strong necessity. Fact is, over the last few years, a new genre of high-end tools has been introduced to enhance security. New breeds are definitely an overlap on the existing tools in terms of performance; however, every category has some certain strengths and weakness as well.

LM or Log management involves data collection and log files storing from various systems. The concept is restricted to collection and storage of security data only. In general, log management is not concerned about content of data or its analysis. Data analysis is handled by an upstream system. Many log management systems, however, integrate analytical tools for data analysis but seldom come closer to the height of performance as delivered by the security information and event management.

SIEM, the abbreviation stands for Security Information & Event Management. It is only concerned about analyzing security information sourced from security event logs. To provide a comprehensive and accurate picture, SIEMs collect data from multiple platforms and devices including switches, routers, firewalls, servers, applications etc to name a few. SIEM has also become a primary need to deliver better business service management.

A high-end SIEM should be able to regulate different event streams. It ensures that time stamps and data formats are as per the standard type before they get stored in a data-store. It will give more accurate result if normalized data are correlated for root-cause analysis of performance bottlenecks and recent security breaches. SIEM tools must embed most fundamental log management functionalities or offer log management product interface. Integrated MindArray IPM event and log management solution helps you with correlated analysis of collected data files.