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SIEM’s basic capabilities are as follows:
- Log Collection
- Normalization – Collecting logs and normalizing them into a standard format)
- Notifications and Alerts – Notifying the user when security threats are identified
- Security Incident Detection
- Threat response workflow – Workflow for handling past security events
SIEM records data from across a users’ internal network of tools and identifies potential issues and attacks. The system operates under a statistical model to analyze log entries. SIEM distributes collection agents and recalls data from the network, devices, servers, and firewalls.
All this information is then passed to a management console where it can be analyzed to address emerging threats. It’s not uncommon for advanced SIEM systems to use automated responses, entity behavior analytics and security orchestration. This ensures that vulnerabilities between cybersecurity tools can be monitored and addressed by SIEM technology.
Once the necessary information reaches the management console, it is then viewed by a data analyst who can provide feedback on the overall process. This is important because feedback helps to educate the SIEM system in terms of machine learning and increasing its familiarity with the surrounding environment.
Once the SIEM software system identifies a threat, it then communicates with other security systems on the device to stop the unwanted activity. The collaborative nature of SIEM systems makes them a popular enterprise-scale solution. However, the rise of pervasive cyber threats has made many small- and mid-sized businesses consider the merits of a SIEM system as well.
This change has been relatively recent because of the substantial costs of SIEM adoption. Not only must you pay a sizeable amount for the system itself; you need to allocate one or two members of staff to oversee it. As a result, smaller organizations have been less enthusiastic about SIEM adoption. But that has begun to change as SMEs can outsource to managed service providers.