What Is a SIEM Tool, and How Does It Fit Into the Security Arsenal?

Understanding what is a SIEM tool is essential for anyone managing security operations today. In this article, we explain how SIEM works, compare it to other security tools, and discuss why we believe it belongs in the essential armory of companies dealing with cyberattacks, regulatory pressure, and stretched IT teams.

Cyberattacks are becoming relentless. Companies face a wave of threats from criminals using AI to automate malware, ransomware, phishing and insider attacks.

The experience of UK telecom giant BT highlights this challenge. It saw the number of AI-powered cyberattacks targeting its networks increase by 1,200% in just one year. In 2024 alone, it detected 2,000 potential cyberattack signals per second, far more than human analysts could handle.

They can only manage and analyze the flood of security data this creates by using modern Security Information and Event Management (SIEM) tools with AI-enhanced detection.

How SIEM Tools Work

SIEM tools gather security logs and events from across the IT environment, including firewalls, servers, endpoints, networks, and cloud platforms.

By consolidating this data in one place, SIEM systems give tighter control over what’s happening on the network. They help security teams move faster, detect and investigate complex threats, and ultimately reduce the risk of costly breaches or downtimes.

But improving IT observability and strengthening cybersecurity aren’t the only reasons companies invest in SIEM. Some organizations also use SIEM as a core tool to meet IT compliance requirements, as it supports long-term storage of event logs for reporting, digital forensics, and audit readiness.

Others adopt SIEM to centralize logging and security, helping unify operations across large-scale environments, multiple business units, or geographically distributed branches.

Key Features of a SIEM Tool

While different SIEM platforms vary in complexity, most include the following core capabilities.

Log management

SIEM systems collect, normalize, and store logs from across an organization’s network. They provide a searchable archive of security events, ensuring teams can quickly analyze activity across firewalls, applications, endpoints, and cloud services.

Threat detection and correlation

SIEM tools connect the dots between separate security events to detect suspicious activity. They also do this by tracking user and entity behavior analytics (UEBA). For example:

• Changes in system configuration made by a high-privilege user could indicate an account breach.
• Malware on one machine and a spike in outbound traffic might signal data theft.
• Unusual access patterns, like an employee logging in from two countries within minutes, could point to credential theft.

Img 1: The red bar indicates a failed login attempt by the domain administrator; a possible sign of a security incident. (Logmanager)

Traditional SIEM platforms use predefined and custom rules, behavioral analysis, and threat intelligence to spot suspicious activity.

However, more advanced systems may also use machine learning to detect unusual patterns. These can detect threats that traditional rule-based systems might miss.

Real-time alerting and response

SIEM systems continuously analyze security data and trigger alerts when they detect suspicious activity.

• Alerts are prioritized based on severity, helping security teams focus on urgent threats.
• Some SIEMs integrate with Security Orchestration, Automation, and Response (SOAR) tools, allowing automated responses like blocking an IP or isolating a compromised device.
• SIEMs also provide data that helps security teams trace the timeline of an attack, identify affected systems, and take action to contain the threat.

Threat intelligence integration

SIEM tools don’t just rely on logs and events from inside a company, they also pull in external databases to help detect known cyber threats. This is called threat intelligence integration.

Threat intelligence feeds provide up-to-date information on malicious IP addresses, domains, attack patterns, and hacker tactics. 

Compliance and auditing

Many industries require businesses to track and report security incidents. For these industries, SIEM tools:

• Log all security events for audits.
• Allows generating compliance reports for GDPR, HIPAA, PCI DSS, and more.
• Alert teams to non-compliant activity before it becomes an issue.

Enhanced security visibility

SIEM platforms provide a centralized view of security activity, helping businesses detect and respond to threats faster. With real-time dashboards, security teams can monitor log data, threat patterns, and incident alerts from one unified interface. These dashboards offer:

• Live security event tracking.
• Customizable reporting tools.
• Drill-down capabilities to investigate specific threats.

By consolidating security data from multiple sources, SIEM eliminates blind spots, ensuring organizations have complete visibility over their network, endpoints, and cloud environments.

Img 2: High network traffic volume indicating an anomaly – in this case, a port scan. (Logmanager)

Resource optimization

SIEM platforms help security teams optimize resources by automating routine tasks, reducing manual workloads, and prioritizing critical incidents.

Instead of sifting through countless security logs, analysts receive automated alerts highlighting real risks, allowing them to focus on these issues rather than false positives.

By integrating with security orchestration, automation, and response (SOAR) tools, SIEMs further enhance efficiency by enabling automated responses to incidents.

This reduces the need for large in-house security teams, making cybersecurity management more cost-effective while ensuring a swift response to potential attacks. We’ll explain more about SOAR systems later in this article.

Challenges of Implementing SIEM

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While SIEM solutions offer powerful security and compliance benefits, deploying and managing them comes with challenges. Businesses must prepare for potential roadblocks to ensure a successful implementation.

Complexity and setup time

SIEM implementation is not plug-and-play. It requires careful configuration to ensure that logs are collected, normalized, and correlated correctly.

• Customization: Each organization has unique security needs, requiring fine-tuning of alert rules and correlation logic.
• Integration delays: Connecting a SIEM to existing security tools, cloud environments, and legacy systems can take weeks or even months.
• Resource demands: Deployment often requires experienced security engineers to set up log sources, adjust thresholds, and tune false positives.

Alert fatigue and false positives

A common challenge with SIEM is overwhelming security teams with too many alerts, many of which are false positives.

• Poorly configured SIEMs generate excessive alerts, making it difficult for teams to prioritize real threats.
• Lack of automation can cause security analysts to manually investigate minor incidents, slowing response times.
• Threat intelligence integration is critical to reducing false alarms by providing context for detected events.

High costs and ongoing maintenance

SIEM platforms can be expensive to deploy and operate, particularly for organizations with large data volumes.

• Storage costs: SIEMs require long-term log retention for compliance and threat investigation, increasing data storage expenses.
• Scaling costs: As log ingestion increases, pricing can escalate quickly, especially with cloud-based SIEMs that charge based on usage.
• Continuous management: SIEM requires ongoing maintenance to update correlation rules, fine-tune alerts, and adapt to new threats.

The need for skilled security personnel

Many businesses struggle to manage SIEM solutions due to a shortage of skilled cybersecurity professionals.

• SIEMs require expertise in log analysis, threat intelligence, and incident response.
• Hiring in-house staff with SIEM expertise can be expensive and difficult due to the cybersecurity skills gap.
• Managed SIEM services or Security Operations Centers (SOCs) can help businesses that lack in-house expertise.

Data privacy and compliance risks

SIEM solutions collect and store sensitive security logs, which creates security risks and challenges:

• Log data must be protected against unauthorized access and insider threats.
• Compliance considerations require organizations to properly encrypt, store, and delete logs according to regulatory guidelines.
• Multi-cloud environments complicate data governance, requiring businesses to manage SIEM across different jurisdictions.

SIEM Vs. Other Security Solutions

SIEM is a powerful tool, but it’s not the only solution available. Solutions like SOAR (Security Orchestration, Automation, and Response), XDR (Extended Detection and Response), and IDS/IPS (Intrusion Detection System/Intrusion Prevention System) often overlap in functionality, making it difficult to determine which one best fits an organization’s needs.

Many organizations combine SIEM with these tools to create a multi-layered defense strategy that detects, analyzes, and responds to threats efficiently. The table below summarises these systems. Read on to find out in detail how SIEM compares to each one.

Feature	SIEM	SOAR	XDR	IDS/IPS	Log Management
Primary Purpose	Aggregates, correlates, and analyzes security logs	Automates security response and workflows	Provides endpoint and network detection & response	Monitors network traffic for malicious payloads	Stores and organizes logs for analysis
Threat Detection	Correlates security events to detect patterns and anomalies	Depends on other sources to deliver detections	Analyzes data from endpoints, emails, and networks	Detects and blocks malicious traffic on network perimeter	Depends on other sources to deliver detections
Real-Time Response	Limited; mainly focuses on alerting	Yes; automates responses like blocking IPs or isolating devices	Yes; built-in automated response to threats	Yes; blocks threats as they occur	No; primarily used for log storage
Historical Analysis	Strong; maintains historical logs for forensic analysis	Minimal; relies on SIEM for historical data	Limited; focuses on real-time threats	No; does not store or analyze historical data	Yes; retains historical log data
Compliance & Reporting	Built-in compliance reporting for regulations like GDPR, HIPAA	No direct compliance tracking; relies on SIEM data	Some compliance capabilities but limited to endpoints	Not focused on compliance tracking	Helps with compliance but lacks built-in security correlation
Automation & Orchestration	Integrates with SOAR for automated response	Fully automated response capabilities	Custom developed code or relies on integration with SOAR	Custom developed code or relies on integration with SOAR	No automation beyond log collection
Best For	Organizations needing security visibility, compliance, and threat detection	Large enterprises needing rapid incident response automation	Organizations prioritizing real-time endpoint and network security	Businesses needing netowork perimeter intrusion prevention	Companies needing basic log storage without security correlation for compliance and analysis

Tab 1: Comparison table of SIEM vs other security solutions

SIEM vs. SOAR

We briefly touched upon SOAR earlier in the article. It focuses on automating security responses, often in tandem with and based on SIEM alerts. Among other actions, it can block an IP, isolate a device, or trigger workflows without manual intervention.

SIEM, on the other hand, is designed to collect and analyze security logs, giving security teams insight into cyber threats and compliance risks. They help identify potential security incidents by correlating data from various sources and triggering alerts based on predefined rules. 

However, some SIEM platforms offer automation capabilities such as forwarding alerts, sending notifications, creating tickets in incident management systems, or even executing pre-configured automated responses, for example, blocking user access or isolating compromised devices.

Which one should you use? 

SOAR can enhance a SIEM deployment by reducing manual workloads. It could be helpful if your security team is overwhelmed with alerts and struggling to respond quickly, but more complicated incident responses will never be automated, because all potential scenarios can never be scripted.

Larger enterprises often combine SIEM with SOAR for a more efficient response system. You may wish to use SOAR without SIEM if you are a smaller organization or do not require log management capabilities. 

SIEM vs. Extended Detection and Response (XDR)

XDR focuses on real-time endpoint and network threat detection with built-in response capabilities, making it more automated but less customizable than SIEM.

SIEM tools monitor a broader range of sources, including firewalls, endpoints, cloud environments, and applications. Unlike XDR tools, they usually also provide historical analysis and compliance reporting too.

Which one should you use?

Small security teams often prefer XDR, as it requires less fine-tuning and offers automated responses out of the box.

Regulated industries (finance, healthcare, etc.) benefit from SIEM because of its strong compliance reporting capabilities and broader coverage and may deploy it in tandem with XDR as data source.

Large enterprises often use both, SIEM for forensic analysis and compliance, XDR for faster endpoint threat detection.

SIEM vs. Intrusion Detection/Prevention Systems (IDS/IPS)

IDS/IPS tools actively monitor network traffic in real-time and can block threats as they happen. However, they do not store historical data or analyze security events over longer time.

On the other hand, SIEM tools work after an event has occurred, identifying attack patterns and correlating threats across multiple systems.

Here’s an example scenario to help you understand the difference between the systems:

• A company using IDS/IPS detects a brute-force attack and blocks the attacker’s IP address.
• A SIEM system then correlates this activity with recent privilege escalation on another server, revealing a broader coordinated attack that would have otherwise gone unnoticed.

Which one should you use? 

Choose IDS/IPS if you need real-time threat detection and prevention to block attacks before they happen.

Use SIEM if you require comprehensive security visibility, compliance reporting, and advanced threat correlation.

However, a combination of the two may be best if you want instant attack prevention (IDS/IPS) combined with deep forensic analysis and long-term security insights (SIEM).

SIEM vs. log management tools

Log management tools focus on collecting, storing, and organizing logs. They are primarily used for storing and searching logs to aid in troubleshooting, compliance, and forensic investigations. They often lack built-in threat detection and correlation capabilities.

SIEM systems go further by collecting and analyzing log files in real-time, correlating events, and applying threat intelligence and behavioral analytics to detect and respond to cyber threats.

Which one should you use? 

Log management tools are suitable if you need a simple, cost-effective way to store, search, and analyze security logs for threat detection and investigation, troubleshooting and compliance. 

SIEM is more suitable if you require advanced data and event correlation from multiple sources, real-time threat detection, and actionable alerts that help security teams respond more quickly and effectively to security incidents.

Alternatively, lightweight SIEM solutions like Logmanager provide a reasonable pricing and simplicity of log management tools with essential SIEM capabilities, making them a good hybrid option for smaller and midsize organizations.

Modern Trends in SIEM

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Global cyber threats evolve constantly, so SIEM systems need to do the same. 

Security teams now deal with larger data volumes, AI-driven attacks, and complex hybrid environments, challenges that traditional SIEM solutions struggle to handle.

Let’s look at some trends in SIEM in slightly more depth:

AI and machine learning for smarter threat detection

Traditional SIEM systems rely on predefined rules to detect threats. However, modern cyberattacks change tactics frequently, making rule-based detection less effective. 

This is why AI and machine learning are now core features in next-generation SIEM platforms. AI-powered SIEMs can:

• Recognize anomalies in real-time by learning an organization’s normal behavior and flagging deviations.
• Reduce false positives, allowing security teams to focus on real threats instead of investigating unnecessary alerts.
• Predict emerging attacks by analyzing past incidents and identifying patterns before threats escalate.

Increasing automation in SIEM response

Modern SIEM solutions increasingly incorporate automation to reduce manual effort and speed up threat response.

Automation helps security teams act on threats without delays, improving efficiency and reducing risk. Modern SIEMs now offer built-in automation capabilities or integrate with external automation tools like SOAR. These advancements allow SIEM to:

• Trigger automated threat responses, such as blocking malicious IPs or isolating compromised devices.
• Use AI-driven automation to prioritize alerts and execute predefined security actions without human intervention.
• Streamline incident workflows, allowing analysts to focus on complex investigations rather than repetitive tasks.

SIEM’s role in security and compliance

As regulatory requirements grow stricter, SIEM systems help businesses stay compliant while strengthening their security posture. 

Here are some recent requirements that SIEM tools have helped comply with:

SEC Cybersecurity Disclosure Rules (U.S., 2024): Public companies in the U.S. must report cyber incidents within four business days and provide annual disclosures about their cybersecurity risk management and governance policies. SIEM tools help by automating incident detection, logging, and reporting.

NIS2 Directive (EU, 2024): Expands the number of industries subject to the EU’s cybersecurity requirements to include financial services, energy, and healthcare. It introduces mandatory risk assessments, supply chain security requirements, and stricter incident response obligations. Organizations must demonstrate real-time threat monitoring and incident response, both of which SIEM systems enable.

Digital Operational Resilience Act (DORA) (EU, 2025): DORA requires financial institutions to maintain a continuous security monitoring framework and conduct regular resilience testing. SIEM ensures compliance by collecting and correlating security logs, helping organizations detect threats proactively and meet ICT risk management requirements.

US Cyber Incident Reporting for Critical Infrastructure Act (CIRCIA) (U.S., 2024-2025): Organizations in critical infrastructure sectors must report cyber incidents within 72 hours and ransom payments within 24 hours. SIEM solutions facilitate rapid event correlation and reporting to help businesses meet these strict deadlines.

SIEM for small and mid-sized businesses (SMBs)

SIEM was once considered too complex and expensive for SMBs, but modern solutions are making it more accessible by:

• Offering usage-based pricing rather than high upfront costs.
• Simplifying deployment, with predefined parsers, dashboards, and no-code customization requiring little manual setup.
• Automating security monitoring, allowing smaller IT teams to manage threats without needing a full-scale SOC (Security Operations Center).

With cyber threats targeting businesses of all sizes, even SMBs are now turning to SIEM for protection, particularly with managed SIEM services becoming more available.

5 Things to Consider When Choosing a SIEM Tool

Selecting the right SIEM solution can be challenging, as businesses must balance security needs, compliance requirements, and operational costs. 

Generally, the best SIEM depends on your organization’s size, IT resources, and security priorities:

• Small businesses and startups: Lightweight SIEMs with automation can reduce management overhead.
• Mid-sized organizations: Scalable SIEMs with strong integration capabilities allow for future growth.
• Large enterprises: On-premises SIEMs offer full customization, but they require dedicated security teams.

However, with so many options available, organizations often struggle to determine which SIEM solution best aligns with their infrastructure and resources. Additionally, some companies make the mistake of choosing a SIEM based solely on features rather than considering scalability, ease of use, and long-term costs. 

Here’s a brief rundown of what to consider when choosing a SIEM system.

1. Scalability and data handling

SIEM platforms process massive amounts of data, so scalability is critical. Consider:

• Log volume capacity: Can the SIEM handle increasing data loads without performance issues?
• Retention policies: Does the SIEM support long-term data storage for compliance and forensic investigations?
• Cloud vs. on-premises deployment: Do you need a fully managed cloud-based SIEM, or is an on-prem solution required due to data privacy, security or regulatory concerns?

2. Integration with existing security tools

A SIEM should work seamlessly with your existing security infrastructure. Look for:

• Ability to ingest data from various parts of the IT infrastructure, including firewalls, endpoints, networks, and apps.
• Support for threat intelligence feeds to enhance detection accuracy.
• Integration with SOAR platforms for automated incident response.

3. Ease of use and automation

A SIEM is only valuable if your security team can effectively use it. Consider:

• User-friendly dashboards: Can analysts easily visualize and investigate threats?
• Automated alert triage: Does the SIEM reduce false positives and prioritize real threats?
• Built-in detection rules vs. manual configuration: Does the SIEM provide pre-configured security rules, or will your team need to build them from scratch?

4. Cost considerations

SIEM pricing varies based on log volume, deployment model, and features. Key factors include:

• Licensing models: Some SIEMs charge based on log ingestion, while others use flat fees.
• Operational costs: On-prem SIEMs require hardware and dedicated staff, whereas cloud-based solutions often have lower overheads.
• Managed SIEM services: Outsourcing SIEM management can reduce costs and ease the burden on in-house teams.

5. Compliance and reporting capabilities

If your industry is subject to strict regulations, choose a SIEM that:

• Provides automated compliance reports for frameworks like GDPR, HIPAA, and PCI DSS.
• Supports audit logs and forensic investigations.
• Includes real-time compliance monitoring to detect potential violations.

By carefully evaluating these factors, businesses can ensure they invest in a SIEM that enhances security operations, streamlines compliance, and adapts to evolving threats.

Make Sense of Security Data with Logmanager

SIEM is a powerful tool, but finding the right fit for your business takes careful planning. Whether you’re looking to improve threat detection, meet compliance requirements, or reduce the burden on your security team, a well-implemented SIEM can transform your security operations.

At Logmanager, we help businesses make sense of their security data. Our user-friendly, lightweight SIEM solution, available as a SIEM virtual appliance, delivers all the necessary features, effortless management, and scalability without drowning you in complexity.
Ready to simplify security monitoring? Book a demo today.