Through consolidated logging you can monitor the performance, availability, and security of your Exchange servers. EventTracker can generate flex reports for mailbox access, mailbox changes, message tracking, audit activity, user permission and database changes by admin. Some of the Knowledge Packs available in EventTracker are listed below.
For more information, please refer Integration Guide. The configuration details in this guide are consistent with EventTracker version 8. For more information please refer to the Integration guide. This site uses cookies to store information on your computer. Some are essential to make our site work; others help us improve the user experience. By using the site, you consent to the placement of these cookies.
If you face any issues, download manually here. Identify all Widows log sources in your domain and start collecting Windows event logs easily with EventLog Analyzer's autodiscover option. Simply select the critical sources and automate log file management to fortify your network. Utilize the powerful correlation engine to gain comprehensive insights by making sense of log data from all the log sources present in the network.
The Windows log monitoring tool contains over 40 pre-built correlation rules to detect the most common cyberattacks like SQL injection, DoS, and brute-force. You also have the option to build custom rules to detect more complex patterns. Conduct root cause analysis for any security event in your network in minutes.
EventLog Analyzer monitors Windows activity in real-time, allowing you to search through raw event logs and pinpoint the exact log entry that caused a security incident. The solution makes it easy for you to find mission-critical information about the detected incident, including severity level, time, location, and the user who initiated the event. This helps you take the required countermeasures within a short timeframe to speed up incident resolution.
Generate detailed reports based on event logs from Windows servers and workstations. EventLog Analyzer contains numerous Windows-specific report templates for security events like failed logons, account lockouts, and security log tampering. You can also build custom reports to meet internal audit policies. Detect security events happening in your network instantly and expedite the troubleshooting process.
You can configure EventLog Analyzer to send real-time alerts to manage incidents based on logs generated with a specific log type, event ID, log message, or severity. It also supports integration with help desk software, so tickets can be raised automatically in your help desk software. EventLog Analyzer offers log management, file integrity monitoring, and real-time event correlation capabilities in a single console that help meeting SIEM needs, combat security attacks, and prevent data breaches.
Monitor all types of log data from Active Directory infrastructure. Track failure incidents in real-time and build custom reports to monitor specific Active Directory events of your interest. Monitor and track privileged user activities to meet PUMA requirements.
Get out-of-the-box reports on critical activities such as logon failures, reason for logon failure, and more. Perform in-depth forensic analysis to backtrack attacks and identify the root cause of incidents. The pace of change with infrastructure and modern application development introduced a constant challenge for IT operations.
Learn how event correlation improves IT operations, the role of AIOps, and my expert advice for choosing the right platform. Event correlation automates the process of analyzing monitoring alerts from networks, hardware, and applications to detect incidents and problems. Using an event correlation tool makes management of enterprise systems, applications and services easier and improves their performance and availability.
In computing, generally, an event is an occurrence or action initiated either by the system or a user. The act could be as simple as a mouse click or a website page loading. Event correlation focuses on events in which the result is not normal and signifies a problem. Event correlation software ingests monitoring alerts, alarms and other event signals, detects meaningful patterns amid the deluge of information and identifies incidents and outages.
The software speeds up problem resolution and improves stability and uptime for the system, application or service. Advances in artificial intelligence, including machine learning, have strengthened event correlation.
AI enables platforms to continuously improve correlation algorithms using the data they ingest and user input or user actions. This innovation, part of a trend called Artificial Intelligence for IT Operations AIOps , makes the analysis of event data, the detection of problems and the surfacing of their root cause more efficient.
Event correlation plays a role in integrated service management. Integrated service management is a lean version of ITIL. The acronym is the current name for a comprehensive set of IT management best practices that began in the late s as Information Technology Infrastructure Library. Within integrated service management, there are six key processes: service level management, change management, operations management, incident management, configuration management, and quality management.
Event correlation falls under incident management but relates to virtually all six processes. System monitoring produces data about events that occur. Challenges come from:. IT operations staff, DevOps teams, and network operations center NOC managers cannot keep up with the volume of alerts and detect incidents and outages in time, before they affect revenue-generating applications and services or other critical back-end systems.
Event correlation software tackles this challenge by collecting monitoring data from across the managed environment and using AI to consolidate those monitoring alerts into clusters related to the same issue. As part of that process, the event correlation platform makes use of the latest, up-to-date topology data to identify. The software uses this information to identify the causes and solutions for issues much faster and thoroughly than human technicians could.
Event correlation is a multi-step process that begins with aggregating event data. Next, that data proceeds through filtering, deduplication, normalization, enrichment, and then correlation.
Finally, the software recognizes which incidents are instances of the same problem. This action could further investigation or corrective measures. Here are the event correlation steps in detail:. Once the event correlation steps are complete, the tool identifies the source of the issue and the triggers an action by performing the following two actions:.
Businesses correlate different types of events based on their IT environments and needs. However, there are several common types, such as events in operating systems, data storage and web servers. The primary key performance indicator KPI in event correlation is compression.
Expressed as a percentage, the KPI represents the proportion of events that are correlated to a reduced number of incidents. The goal of event correlation is to identify all events related to a single problem. There will be events that stem from the root problem and symptomatic events as the original failure impacts other components.
Operators can address both the cause and symptoms when they fully understand the relationship. Ideally, you would want a compression number as close to percent as possible. But in reality, that goal is impossible to achieve because as incidents near that level, the compression rates sacrifice accuracy.
That means they incorrectly group events as stemming from the same issue or miss that a problem is related to another. Inversely, prioritizing accuracy depresses the compression rate. Accuracy is not calculated by event correlation software.
For example, company A may have very different events than Company B, and what is more important to one company over the other also varies. Therefore, the accuracy of the correlation between the two is next to impossible to calculate. Instead, accuracy is a soft, qualitative KPI that customers assess based on spot checks and business value evaluation. Event correlation experts recommend, and I agree, companies making this tradeoff should strive for as high of a compression rate as possible without sacrificing accuracy and value to the business.
Typically, doing so yields a compression rate of around 70 to 85 percent. To do so, you must look at raw event volumes and improvements resulting from deduplication and filtering. Evaluate enrichment statistics, signal-to-noise ratios and false-positive percentages. You can also look at event frequency in terms of the most common sources of hardware and software problems, so you can become more proactive in preventing issues. Other metrics can be a byproduct of good event correlation.
These metrics are typically found in IT Service Management, and are intended to evaluate how automated repairs, service teams, engineers and DevOps staff handle these incidents.
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