What is SIEM? A complete guide to Security Information and Event Management
SIEM definition – what is SIEM?
Security Information and Event Management (SIEM) is a solution that provides monitoring, detection, and alerting of security events or incidents within an IT environment. It provides a comprehensive and centralized view of the security posture of an IT infrastructure. It gives cybersecurity professionals insights into the activities within their IT environment.
How does SIEM software work?
SIEM software collects and aggregates log data generated throughout the organization’s entire IT infrastructure, from cloud systems and applications to network and security devices, such as firewalls and antivirus. The software then identifies, categorizes and analyzes incidents and events. SIEM analytics delivers real-time alerts, dashboards, and reports to several critical business and management units. Modern SIEMs also apply unsupervised machine learning to enable anomaly detection (User and Entity Behavior Analytics) to the collected log data.
Why is using a SIEM solution important?
In the digital economy, enterprises must monitor and guard their data to protect themselves from increasingly advanced cyber threats. Chances are, your company has more data to collect and analyze than ever before. With exploding data volumes and increasing complexity, as IT infrastructures converge towards hybrid deployments between cloud and on-prem, it is increasingly important to have a central security solution to track behavior and critical events.
Additionally, the industry’s lack of skilled resources means that security events can overburden analysts and Security Operation Centers (SOCs). The results are alert fatigue and the need to prioritize where to focus the company’s security resources.
SIEM solutions enable companies to respond quickly and precisely to security incidents. A SIEM solution provides centralized collection, classification, detection, correlation, and analysis capabilities, making it easier for teams to monitor and troubleshoot IT infrastructure in real-time. Without a SIEM solution, security analysts must go through millions of non-comparable and siloed data for each application and security source. In short, SIEM solutions can accelerate detection and response to cyber threats – making security analysts more efficient and accurate in their investigations.
Limitations of traditional SIEM solutions
SIEM tools have been around since 2005, but the SIEM definition and the answer to “what is SIEM?” has evolved considerably since then. Changes in the threat landscape have created a need to identify a wider variety of threats faster. For years, SIEM solutions were implemented to help security and IT teams analyze security alerts in real-time. But many traditional SIEM solutions cannot gather and analyze large amounts of data from a wider variety of sources – including IoT and proprietary applications.
Due to the exponentially growing amount of data, many organizations are facing limited value at increasing costs. Organizations that have a SIEM where the licensing model is based on data volume have to be selective of which data to ingest from which applications to not vastly exceed their budget. This can potentially mean missing out on data you need in the case of breaches or can leave your organization completely blind to anomalous behavior in critical systems
At the same time, there is a shortage of security analysts available in the labor market. Security operations teams struggle to keep up with the deluge of security alerts from a growing arsenal of threat detection technologies while relying on rule-based manual procedures for operations. Fortunately, advanced analytics, investigation, and response tools combined with developments in machine learning create new efficiencies in SIEM solutions that help remedy the cybersecurity skills gap.
Better threat detection and response
A Modern SIEM solution provides real-time data analysis, early detection of data breaches, data collection, secure data storage and accurate data reporting to improve threat detection and response times.
The automation of functions frees security analysts from time-consuming manual tasks and enables them to better orchestrate a response to threats. The best Modern SIEM solutions utilize machine learning and user and entity behavior analytics (UEBA) to help ease the burden of overworked security analysts.
A Modern SIEM solution with a simple and predictable licensing model enables businesses to spend less to keep their data secure, regardless of the amount of data they have and the number of sources from which data is logged.
LogPoint’s value proposition
We have a history of success in IT security and safeguarding businesses from risk and mitigating reputational and financial damage. By providing a simplified overview of your IT infrastructure you can make impactful business decisions.
By using, our advanced UEBA technology solution, based on machine learning, we give your security team and edge. We ensure less business downtime by enabling your team to respond and detect threats faster and efficiently.
The SIEM solution integrates easily with all devices in your network, giving a holistic and correlated overview of events in your IT infrastructure.
LogPoint’s Modern SIEM solution translates all data into one common language, making it possible to compare events across all systems. This common language makes it very easy and efficient to search, analyze and report on the data. This helps accelerates the team’s detection and response rate to threats reducing workload.
For compliance initiatives, LogPoint enables automatic monitoring of relevant compliance parameters and alerts you to relevant risks as they happen. Our Modern SIEM solution is easy to use with a low learning curve for busy professionals. We also drive operational efficiencies by supporting a proactive approach to understanding your network, by providing actionable, real-time insight into your IT infrastructure to drive business value.