SIEM software is a hot topic in the current tech landscape. Cybercrime threatens organisations of all sizes around the world. Therefore it’s important for businesses to be able to monitor malicious behaviour.
So, what if your business could view all abnormal activity from a single vantage point? This would be pretty useful, right? Well, SIEM systems do exactly that, and here’s how.
Security information and event management (SIEM) combines security information management with security event management. This provides real-time analysis of events across your network and alerts you to any detected threats.
Put simply, every SIEM system collects relevant data from multiple sources. It then identifies abnormalities and takes action.
The system can be based on a predetermined rules system or employ a statistical correlation engine. Both of these systems establish relationships between user activities. Advanced SIEMs include user and entity behaviour analytics (UEBA) and security orchestration and automated response (SOAR).
SIEM technology has been around for more than a decade, evolving from the log management discipline. Compliance audits originally drove large enterprises to adopt SIEM. But concerns over advanced persistent threats (APTs) has led small organisations to look at the advantages too.
Being able to view abnormal activity across your security-related data from one point of access makes patterns easier to spot. This in turn gives you a greater understanding of what threatens your monitored servers.
SIEM systems collect data from throughout your organisation’s technological infrastructure. This can be collected from end-user devices, servers, network equipment and security systems. Events and incidents are then identified and categorised before being analysed.
The analysis of these reports on security-related events and incidents shows activity that runs against predetermined rulesets. Any potential security risk is then indicated to you.
For example, when an irregularity is detected which poses a potential risk, a SIEM might log additional information and generate an alert. It would then instruct other security controls to stop that activity’s progress, minimising or preventing the risk.
Most organisations use SIEM primarily for tracking and investigating. However, to maximise the value of SIEM, many companies are moving beyond that. The technology can be used for detection and real-time response.
SIEM vendors are now introducing and integrating machine learning into their products, as well as experimenting with AI and deep learning capabilities. The result is a more accurate identification of abnormal and potentially malicious activity. A lot of SIEM technology now includes intelligence feeds on top of traditional log data.
For example, multiple SIEM products have the ability to examine network behaviour as well as user behaviour, and some vendors are introducing advanced statistical analysis. Improvements such as these provide a more accurate detection rate at a faster pace.
At UKFast, we utilise SIEM software to protect your online business assets in the face of the ever-growing presence of cyber-threats. Our SIEM technology – Threat Monitoring – monitors all activity across your estate, and has blocked more than 1.5 million cyber-attacks in Q1 of 2019.
Get real-time visibility over your infrastructure with UKFast’s Threat Monitoring.