Tuesday, June 18 2024

A Security Information and Event Management system (SIEM) is typically most needed in larger organizations or those with complex IT infrastructures where there’s a high volume of security events and logs generated from various sources. Companies often invest in SIEM when they require comprehensive visibility into their network activities and want to centralize security monitoring and incident response capabilities.

What is Security Information and Event Management and how does it work?

A SIEM product gathers and analyzes security data from different parts of a company’s network, such as firewalls, antivirus systems and servers. It collects information about things like login attempts, file access and changes to the system and compares the activity to predefined norms. These norms are established based on historical data, industry best practices and specific security policies tailored to the organization’s needs.

When a SIEM offering spots unusual activity, it sends an alert to a company’s security team. For example, if someone tries to access important files from an unexpected place or at an odd time, a SIEM product lets the team know. The offering also finds more complicated threats by connecting different events.

For instance, if the solution notices that someone changed their password and then tried to access sensitive information, it might indicate a compromised account. These actions help businesses catch security problems early and respond quickly. If there’s a breach, SIEM products provide detailed information to help the team understand what happened and how to stop it.

By harnessing Artificial Intelligence (AI), SIEM technology offers advanced features such as predictive analytics, user behavior analytics and automation.

Predictive analytics enable proactive threat detection by identifying patterns and trends indicative of potential security incidents. User behavior analytics detect deviations from normal user activity, helping to identify insider threats or compromised accounts. Automation capabilities streamline incident response processes, enabling rapid containment and remediation of security incidents.

How is SIEM useful?


SIEM offerings are useful for companies struggling to understand security data across their digital infrastructure. They simplify monitoring and response by centralizing data and gathering data from different sources, like firewalls and servers. SIEM products give a complete view of the company’s IT setup, making it easier to spot threats quickly. With real-time monitoring, they help catch suspicious activity fast, reducing the risk of breaches and damage.

SIEM products keep track of past incidents, helping a company figure out what went wrong and how to stop it from happening again. They also generate reports to show that a company is following its sector’s regulatory requirements and industry standards, such as Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR).

Modern SIEM systems often leverage AI and machine learning algorithms to enhance their capabilities by better identifying patterns and anomalies in security data than the algorithms SIEM offerings use to rely on.

However, SIEM technology has its limitations. In general, while it is effective at catching common threats like malware infections, unauthorized access attempts and insider threats, it may struggle to detect sophisticated attacks, such as advanced persistent threats (APTs) or zero-day exploits. SIEM relies on predefined rules and correlation logic to detect anomalies, which may not always capture novel or previously unknown attack techniques.

What companies provide SIEM services? How do they differ from each other?

Different companies offer SIEM services with variations in customization, integration capabilities and compliance support. Their differences include the depth of threat intelligence, scalability and automation features within their platforms. The following pro and con lists are based on general customer sentiment across various review platforms.

LogRhythm

LogRhythm SIEM by LogRhythm is praised for its ease of use and robust automation but users note limited customization options and occasional stability issues.

Pros:

●  User-friendly interface

●  Strong automation response

●  Comprehensive log management

●  Active threat intelligence

Cons:

●  Expensive

●  Training needed for advanced features.

●  A lot of false positive alerts

●  Stability issues with updates

●  Default parsers need improvement in analyzing raw data effectively.

International Business Machines (IBM)

QRadar by IBM is known for its robust threat detection capabilities and customizable dashboards. It offers real-time monitoring and a flexible rule engine.

Pros:

●  Strong threat detection features

●  Customizable dashboards and reports

●  Real-time monitoring and alerts

●  Flexible rule engine for customization

●  Support for compliance requirements

Cons:

●  Initial setup complexity

●  Advanced features require additional licensing.

●  Difficult to manage log sources

●  No readily available tutorials

●  Integration with third-party products may require additional effort.

Securonix

Securonix Next-Gen SIEM by Securonix stands out for its advanced User and Entity Behavior Analytics (UEBA) capabilities.

Pros:

●  Easy integration and scalability

●  Capable of supporting major device onboarding

●  Centralized log management

●  Abundant add-on features facilitate data retrieval from various clouds and applications.

●  Outstanding pre-configured use cases, dashboards and report templates

Cons:

●  Delayed response time and support engineer availability on critical incidents and issues

●  Requires significant resources for deployment and maintenance

●  Expensive

●  Performance issues with large datasets

●  Only able to be used with software as a service (SaaS-based) solutions

LogPoint

LogPoint SIEM by Logpoint is appreciated for its user-friendly interface and robust automation capabilities.

Pros:

●  User-friendly interface

●  Efficient log management capabilities

●  Effective incident response workflows

●  Active threat intelligence updates

●  Supports “fuzzy searches” (a search technique that allows for approximate matching based on similarity rather than exact matches)

Cons:

●  Limited customization options

●  Not enough default alerts (vendor alerts)

●  Several crucial integrations depend on plugins and Application Programming Interface (API) connections.

●  Insufficient documentation

●  Demands significant resources, particularly Central Processing Unit (CPU) usage

Splunk

Splunk Enterprise by Splunk is well regarded for its analytics capabilities and user-friendly interface. It excels in correlating data from diverse sources effectively.

Pros:

●  Excellent data correlation capabilities

●  User-friendly interface

●  Scalability for large environments

●  Comprehensive threat detection and response

●  Efficiently monitors and collects machine data in various formats effortlessly and rapidly

Cons:

●  Insufficient support team

●  Requires significant resources for deployment and maintenance

●  Difficult to monitor and analyze multiple events and large data sets

●  Advanced features need extensive training.

●  New features are prioritized for the cloud product, leaving the on-premises counterpart behind.

The Future of SIEM

According to a report by Dimension Market Research, the SIEM market is poised for significant growth. The findings indicate a projected surge in market value from 4.7 billion USD in 2023 to 16.7 billion USD by 2032. However, the report recognizes difficulties in deploying SIEM solutions because of the need for highly trained personnel.

The rising popularity of SIEM can be attributed to several key factors. The increasing migration towards cloud infrastructures has prompted SIEM solutions to evolve and integrate with these environments. The adaptation not only enhances accessibility but also broadens the market reach of SIEM solutions.

Significant advancements in AI and machine learning have also transformed the capabilities of SIEM systems, allowing for more efficient detection of threats and automated responses to incidents. Furthermore, the emphasis on Extended Detection and Response (XDR) capabilities has propelled SIEM beyond its traditional boundaries.

These trends highlight the growing importance and evolving nature of SIEM in effectively addressing contemporary cybersecurity challenges.

Explore CISOstack for in-depth insights, practical tips, and expert interviews on the latest cyber threats. Subscribe for regular updates to keep your company ahead in digital defense. Stay informed and secure with us.

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