Security information and event management (SIEM) is a cybersecurity solution that collects, analyses, and correlates security data from various sources to detect, investigate, and respond to potential threats in real time.
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A security operations centre (SOC) plays an increasingly important role in cybersecurity. A SOC is a centralised unit that handles security issues within an organisation. It is an essential part of a comprehensive cybersecurity strategy, designed to monitor, detect, respond to, and mitigate cyber threats in real time. The volume and sophistication of cyberattacks have made SOCs indispensable for organisations aiming to protect their digital assets and maintain robust security postures.
SIEM systems operate by collecting and aggregating log data, performing correlation analysis to identify anomalies, and generating actionable alerts for security teams. They also provide detailed reports to help with compliance and auditing requirements. As a cornerstone of modern security operations centres (SOCs), SIEM enhances threat detection, incident response, and overall security posture by transforming raw log data into actionable intelligence to ensure organisations can proactively mitigate risks.
SIEM systems gather log and alert data from various devices and applications across the IT infrastructure, including firewalls, servers, endpoints, databases, and cloud services. This aggregation ensures that all security-relevant information is stored in one place, streamlining visibility and eliminating silos. Logs can include user activity, system errors, access attempts, and application-specific events. The ability to ingest data from diverse sources enables SIEM to provide a holistic view of an organisation’s security landscape.
Correlating security events involves analysing patterns and relationships between multiple logs to identify potential threats or suspicious behaviors. For example, a single failed login attempt might not trigger concern, but multiple failed attempts followed by a successful login from an unusual location could indicate a brute force attack. By applying predefined rules, machine learning algorithms, and context-aware analysis, SIEM identifies these patterns and prioritises potential security incidents for investigation.
When anomalous activity or a potential security incident is detected, SIEM systems generate alerts based on pre-defined thresholds and rules. These alerts are sent to security teams via dashboards, emails, or integrated response tools. For instance, an alert might be triggered for unauthorised access to a critical database or abnormal traffic spikes indicative of a denial-of-service (DoS) attack. Alerts are prioritised to help security personnel focus on the most critical issues first, improving response efficiency.
SIEM platforms generate comprehensive reports that summarise security events, trends, and incident responses. These reports are essential for understanding the organisation's security posture over time, meeting compliance requirements, and providing actionable insights to improve future defences. They can also include workflows for incident management, detailing step-by-step procedures for containment, eradication, and recovery after a breach. Reports often serve as critical documentation for internal reviews and external audits.
SIEM tools collect and analyse large volumes of data from organisation's endpoints in real-time, and detect and block cyber threats by working alongside security teams. You need to define rules to help those teams and generate alerts.
SIEM tools also help with:
SIEM and security orchestration, automation, and response (SOAR) tools have been instrumental in centralising security event data and automating response workflows. Despite their utility, they face significant challenges:
While these tools remain valuable, their fragmented approach to detection and response has created an opportunity for XDR to provide a more cohesive solution.
XDR is similar to SIEM, in that it is a tool to improve security level and efficiency. The differences between SIEM and XDR are as follows:
By introducing SIEM, logs can be managed centrally. This eliminates the need to manage logs for each device and reduces management errors and omissions. In addition, SIEM has the function of normalising collected logs and visualises the entire IT environment, enabling efficient and comprehensive management.
SIEM centralises log management and performs correlation analysis in real time, enabling early detection of incidents and threats. When a threat symptom or incident is discovered, a quick response can be made and the spread of damage can be minimised.
Security incidents are not only caused by external cyberattacks. Preventing misconduct by employees of your own organisation is also an important security measure for an organisation. By introducing SIEM, you can detect suspicious employee behavior and unauthorised access. SIEM is also effective in preventing internal fraud.
By using SIEM, you can streamline security operations. By automating a series of tasks such as log aggregation, normalisation, and analysis, you can reduce the resources required for your organisation's security measures. Although a certain level of security knowledge is required to operate SIEM, introducing it will enable you to implement more efficient security measures than before.
SIEM is primarily used in a security operations centre (SOC), an organisation that monitors security within an organisation and understands the occurrence of cyberattacks and incidents. It is an important tool for security professionals to support efficient security operations in the following ways.
SIEMs manage various logs in an integrated manner and detect signs of abnormal activity or attacks, and alert security personnel. For example, in addition to detecting malware and other unauthorised behavior, SIEM will alert you when suspicious events are detected, such as multiple login attempts to servers where critical information is stored or use of cloud services not authorised by your company.
Based on unauthorised or suspicious events, SIEM investigates whether or not it is a cyberattack (normal behavior, access error, etc.). If determined to be a cyberattack, the route and scope of the attack, including whether it is an external or internal cyberattack, can be traced to provide clues for incident response.
From a medium- to long-term perspective, visualise the status of violations of your company's security policies and the impact of cyberattacks, then create a report. By visualising what kind of cyberattacks the company has been subjected to over a period of one month, three months, six months, one year, etc., the company can consider what security measures it should take next.
The main use cases of SIEM are listed above, but the greatest benefit for security personnel is the ability to quickly visualise events and log information from multiple different products and link them to the next action.
While SIEM brings benefits to SOCs and other organisations, it also presents the following challenges:
SIEMs are complex systems that require time and expertise to implement and configure. Security professionals must continually work to integrate device logs and data sources, configure rules, and tune alerts.
A large amount of log data must be processed and analysed. Appropriate hardware and storage resources are needed to process large amounts of data. It is also necessary to manage log data retention periods and data compression/reduction.
SIEMs generate alerts based on predefined rules and patterns, however; false positives and negatives can occur. Depending on the configuration, a large number of alerts may be received, requiring continuous tuning of alerts and improvement of rules on the user side.
When an event is detected in real time, the actual incident must be confirmed and responded to. If security personnel does not tune up alerts ahead of time, they will be required to respond to alerts of various sizes, which may in turn reduce operational efficiency.
Proper implementation and operation of SIEM requires security analysis and log management skills. It also requires the availability of appropriate resources (personnel, hardware, and software).
As you’ve read, SIEM isn’t something that should be done in isolation. Trend Vision One™ Security Operations (SecOps) correlate events across endpoint, server, email, identity, mobile, data, cloud workload, OT, network, global threat intelligence feeds – integrating XDR, agentic SIEM, and SOAR for comprehensive context.
SecOps help you surface the highest priority, gain actionable alerts, and automate complex response actions. Your teams spend less time on tedious, repetitive tasks, and more time on high value, proactive security work like threat hunting and detection engineering.
Joe Lee is Vice President of Product Management at Trend Micro, where he leads global strategy and product development for enterprise email and network security solutions. Joe brings over 30 years of experience in IT and cybersecurity, with a career that spans infrastructure design, datacenter operations, and security leadership. His earlier roles—ranging from building IT departments from the ground up in Europe and Japan to leading Security Operations Centers in Taiwan and the Philippines—have given him a deep, hands-on understanding of enterprise challenges.
This foundation fuels his ability to craft innovative, scalable solutions that align with real-world needs. Joe is known for his strategic vision, mentorship of global product teams, and ability to drive cross-functional collaboration to deliver market-leading security products
Security information and event management (SIEM) collects, analyses, and correlates security data from across an organisation’s IT systems to detect threats, support incident response, and ensure compliance.
The three main roles of SIEM are to collect and centralise security data, detect and alert on potential threats, and support incident response and compliance reporting.
The purpose of the security information and event management (SIEM) correlation rule is to catch complex cybersecurity threats that other threat detection methods might miss.
Security information management (SIM) collects and analyses long-term log data for compliance and reporting. Security event management (SEM) focuses on detecting and responding to threats quickly.
Examples of tools commonly used in security information and event management (SIEM) include data collecting tools, search nodes, index and aggregation points, and security alerts.
The three main types of security information and event management (SIEM) systems are on-premises (on-site) SIEM, cloud-based SIEM, and hybrid SIEM models.
Security information and event management (SIEM) is any cybersecurity service or solution that analyses IT logs to detect and respond to possible cybersecurity incidents.
A firewall blocks malicious attacks from infiltrating IT systems. Security information and event management (SIEM) is a broader solution that detects cyberthreats inside a system.
Security information and event management (SIEM) software is a cybersecurity tool that analyses data from IT logs to detect, and respond to cyber threats.
Security operations centres (SOCs) are teams of cybersecurity experts. Security information and event management (SIEM) is a tool SOCs use to detect and prevent cyberattacks.