The term Security Information and Event Management (SIEM) was coined in 2005 by Mark Nicolett and Amrit Williams of Gartner. It is a type of cybersecurity solution that collects and converges data from different parts of your IT environment with the intent of security monitoring. SIEM has been around for quite a while now. However, the technology has evolved significantly over the last few years.
Key Challenges with Traditional SIEM
- Ineffective in the cloud
- Lacks agility
- Leads to security alert noise
- Inability to scale
- Struggles to keep up with emerging threats
Intended to facilitate Threat Detection, Investigation, and Response (TDIR), traditional SIEM often produces too many alerts, referred to as ‘security alert noise’. It is challenging for the security teams to handle so many alerts daily. As a result, many teams tend to classify the alerts as false positives for dealing with alert fatigue. Thus, the traditional SIEM produces a high number of false positives, creating yet more work for the security teams. It requires expert data analysis to be able to filter out the growing avalanche of false positives and discover the real security threats. Further, with technological advancements, the traditional SIEM struggles to keep up with evolving threats. As a result, cyber risks to businesses can grow.
Overall, traditional SIEM systems work well to defend against known threats with fixed perimeters, but it isn’t sufficient to secure today’s cloud-focused dynamic landscape. This is where Next-Generation SIEM comes in.
Confused about what distinguishes a Next-Gen SIEM from a legacy SIEM? You’re not alone. Continue reading to find out…
Next-Gen SIEM platform is able to deal with the issue of ‘security alert noise’ by means of an AI-powered event correlation engine based on several rules. So, cybersecurity experts only receive critical alerts broken down by IP source and destination details, which facilitates forensic analysis and threat detection.
Traditional SIEM platform explores log data to identify suspicious activity. The Next-Gen SIEM sources external data, exploiting the experiences of other IT systems to spot new attack vectors as soon as they start to roll out.
Traditional SIEM once relied upon just a handful of data sources. The Next-Gen SIEM system has been developed to process a greater volume and variety of data. It uses machine learning and other AI-based techniques to cut down detection time for malicious activity. This is called User and Entity Behavior Analytics (UEBA). This watches all activity on a system to work out what is considered ‘normal behavior’. Deviations from this standard raise alarms.
Next-Gen SIEM collects and processes security data in real-time, using correlation rules and machine learning techniques to automatically validate threats. This automation can reduce the average time from threat detection to resolution which in turn slashes your organisation’s time at risk.
As cyber threats evolve, the technologies used by organizations to protect themselves must evolve as well. It’s time to replace your traditional SIEM with a next-Generation SIEM solution with more effective cyber protection capabilities. A traditional SIEM provides security to simple IT environments. However, with the new advances in technological ecosystems, organizations need advanced tools to comply with the best cybersecurity practices and effectively monitor all vulnerabilities. The Next-Generation SIEM is the most advanced solution to protect organizations proactively against sophisticated cyber threats.
Need help in deciding which SIEM tool to use? Write to us at firstname.lastname@example.org and our team of cybersecurity experts will be glad to assist you.