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What is log collection, and why does it matter for security?

Log collection is the process of gathering log data (i.e., records of events, transactions, and system states) from every device, application, and service in an IT environment and moving it into a central platform where it can be searched, correlated, and retained.

It is crucial for security monitoring and threat detection because each event, whether a brute-force attempt against a domain controller, a suspicious query against a payment database, or a firewall rule change made at 2am, is recorded in a log file on a different machine. Without a collector pulling those events into one place, an analyst has to log on device by device to find them, manage logs, correlate them, and then flag the attack. By then, the damage is already done.

Log collection challenges

Log collection can be a challenging task because some systems such as firewalls, intrusion detection systems (IDSs), and intrusion prevention systems (IPSs) have many events per second that generate large amounts of log data. To collect and process log data in real time, regardless of the volume of log data and the number of devices in the network, organizations need a robust log collection mechanism.

Every network has different systems and environments that generate various log formats, such as event logs, syslog messages, and other application logs. The information gained from a router log differs from that gained from a firewall. Also, some logs cannot be collected directly, such as those in DMZs. All in all, log collectors need to be flexible enough to accommodate all network devices and applications.

ManageEngine EventLog Analyzer solves both problems (the volume and the format) by processing up to 25,000 logs per second across more than 750 supported sources from a single console.

Universal log collection and sources

EventLog Analyzer collects logs from over 750 log sources out of the box. The four categories below cover the vast majority of enterprise deployments. The coverage breadth is a differentiator because a single console replaces the four or five single-purpose tools most log management solutions end up stitching together.

Windows event logs

The solution collects security, system, and application logs from every Windows server and workstation in the network. More details on the setup, Windows Event Forwarding and Windows Event Collector architecture, and Event Viewer specifics are on the dedicated Windows event log collection page.

Syslog and network device logs

It collects syslog messages from routers, switches, firewalls (from Cisco, Palo Alto Networks, Fortinet, SonicWall, Sophos, Check Point, WatchGuard, Barracuda, H3C, Huawei, and more), IDSs and IPSs, VPN concentrators, and other network devices. EventLog Analyzer's built-in syslog server capabilities enable efficient management and monitoring of syslog events.

Application and database logs

The solution collects logs from IIS and Apache web servers, Microsoft SQL Server, Oracle Database, MySQL, DHCP servers, terminal servers, and print servers.

Cloud and virtualization logs

It collects AWS CloudTrail and EC2 instances (via APIs), VMware ESX and ESXi logs, and IBM AS/400 logs. On-premises and cloud logs land in the same index, so a hybrid workload can be searched with one query rather than two (Fig. 1).

The universal log collection console in EventLog Analyzer for managing various log sources.
Figure 1. The universal log collection console in EventLog Analyzer for managing various log sources.

Custom log collection

EventLog Analyzer supports custom log collection, meaning it can collect events from text files on both Windows and Linux computers. Some applications don't follow the standard logging services and record log information as text files instead. When these logs are collected, they are parsed into custom fields created for that particular log data.

Log collection methods

EventLog Analyzer can collect logs from multiple log sources. Windows devices don't require agents to collect logs, while syslog devices require them mostly for load balancing purposes. Thus, EventLog Analyzer is designed to support both agent-based and agentless collection mechanisms to cater to all devices and applications in the network (Fig. 2).

EventLog Analyzer's log source configuration console for log collection.
Figure 2. EventLog Analyzer's log source configuration console for log collection.

Below is a summary of every collection method the product supports and when each one applies.

  • Agent-based collection: A lightweight service installed on the source host reads events locally, buffers them, and ships them to the server. For more details, refer to the agent-based log collection page.
  • Agentless collection: The EventLog Analyzer server reaches out and pulls events from source machines using native protocols with no software on the endpoint.
  • Syslog collection: The built-in syslog listener receives UDP and TCP syslog messages from routers, switches, firewalls, and Linux hosts on port 514 (configurable).
  • SNMP trap collection: The SNMPTrapServer receives asynchronous trap messages from network devices that don't speak syslog natively.
  • WMI-based collection: WMI queries pull events from remote Windows machines when direct forwarding is not viable.
  • API-based collection: REST and cloud APIs bring in logs from AWS, cloud services, and SaaS applications that produce event streams instead of files.
  • File importing: For offline forensic work or EVTXs, the log files can be uploaded directly to EventLog Analyzer. Refer to the log import page for more details.

Enterprise-scale log collection with a distributed architecture

A single-server deployment works fine for a hundred sources. Ten thousand sources spread across three continents is a different problem. EventLog Analyzer's distributed edition addresses this: Remote collector nodes are deployed at each site, gather logs locally, and forward compressed, encrypted streams to a central archive over SSH. The results are dramatically less WAN bandwidth used and no dependence on the central server being reachable from every endpoint.

 

Frequently asked questions about log collection

The log categories most teams care about are system logs (of OS and hardware events), application logs (of software errors and transactions), security logs (of authentication, authorization, and audit events), and network logs (of traffic, firewall decisions, and VPN sessions). Cloud and container logs are increasingly counted as a fifth category, though they're often collected the same way.

There are two main approaches: agent-based (software installed on the source machine reads and forwards logs) and agentless (the collector pulls or receives events over standard protocols such as WMI, syslog, SNMP, or an API). Most enterprise deployments mix both: agentless where the network cooperates and agent-based across firewalls and WAN links.

In cybersecurity, log collection is the foundation of detection and response. Every meaningful attack leaves a trace in some log: a failed logon, an outbound connection, a file modification, or a privilege change. Centralized collection is what lets a SOC connect those traces across systems and see the attack as a whole rather than as isolated noise on individual hosts.

Log collection is the ingestion layer of a SIEM platform. Before a SIEM platform can correlate events, generate alerts, or produce compliance reports, the raw log data has to arrive from firewalls, servers, endpoints, applications, cloud services, and network devices. The collection layer handles the transportation (agent-based, agentless, syslog, API-based, etc.), the parsing (turning proprietary log formats into structured fields), and the normalization (mapping fields from different sources onto a consistent schema so a query for failed logons finds them all). Everything a SIEM platform handles downstream—correlation rules, threat intelligence lookups, dashboards, or forensic searches—depends on what the collection layer captured and how cleanly it parsed it.

Collection is the act of gathering log data from source systems and moving it somewhere central. Aggregation is what happens next: normalizing that data into a consistent structure and combining it so it can be searched, grouped, and analyzed as one dataset rather than many separate streams. Modern platforms like EventLog Analyzer do both in one pipeline, but the concepts are distinct, and the distinction matters when comparing tools that stop at one or the other.

EventLog Analyzer Trusted By

Los Alamos National Bank Michigan State University
Panasonic Comcast
Oklahoma State University IBM
Accenture Bank of America
Infosys
Ernst Young

Customer Speaks

  • Credit Union of Denver has been using EventLog Analyzer for more than four years for our internal user activity monitoring. EventLog Analyzer provides great value as a network forensic tool and for regulatory due diligence. This product can rapidly be scaled to meet our dynamic business needs.
    Benjamin Shumaker
    Vice President of IT / ISO
    Credit Union of Denver
  • The best thing, I like about the application, is the well structured GUI and the automated reports. This is a great help for network engineers to monitor all the devices in a single dashboard. The canned reports are a clever piece of work.
    Joseph Graziano, MCSE CCA VCP
    Senior Network Engineer
    Citadel
  • EventLog Analyzer has been a good event log reporting and alerting solution for our information technology needs. It minimizes the amount of time we spent on filtering through event logs and provides almost near real-time notification of administratively defined alerts.
    Joseph E. Veretto
    Operations Review Specialist
    Office of Information System
    Florida Department of Transportation
  • Windows Event logs and device Syslogs are a real time synopsis of what is happening on a computer or network. EventLog Analyzer is an economical, functional and easy-to-utilize tool that allows me to know what is going on in the network by pushing alerts and reports, both in real time and scheduled. It is a premium software Intrusion Detection System application.
    Jim Lloyd
    Information Systems Manager
    First Mountain Bank

Awards and Recognitions

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A Single Pane of Glass for Comprehensive Log Management