Next-generation SIEM platforms can come in many forms, but a few key characteristics distinguish them. The most successful ones include AI-powered event correlation, UEBA technology, and Log aggregation. These features are critical for businesses that rely on large amounts of data from different sources. In addition, choosing the right next-generation SIEM platform can help you avoid many costly mistakes, such as misinterpreting logs.
UEBA is a potent threat detection technology that helps you identify threats and prevent data breaches. UEBA technology collects various types of data and analyses them for activity patterns. Using this technology, you can determine if a particular user is a threat and prevent malicious activities. UEBA is also helpful in identifying remote access events. In addition, UEBA technology makes the configuration of risk content simpler and eliminates human error.
UEBA technology enables enterprises to get a more comprehensive view of data and reduce the number of false positives. It can process vast volumes of data and generate insights. The new technology can analyze data across applications, networks, and even users over time. Using UEBA, organizations can detect malicious activities faster and better. A SIEM platform with this technology will provide an integrated security and risk management approach.
AI-Powered Event Correlation Engine
Next-generation SIEM platforms will have AI-powered event correlation engines. These systems can help improve SIEM’s false favorable rates. In the past, SIEMs have experienced high false reasonable rates, and AI-powered solutions can significantly reduce false alarms. But how do they do this?
An AI-powered event correlation engine is an integral part of a SIEM. These systems are designed to detect threats and risk events automatically.. It leverages the management functions of the SIEM platform to correlate data and make real-time detection easier.
Next-generation SIEM platform log aggregate does more than aggregate your IT system’s events. It also lets you analyze and filter the data, making it easy to perform threat hunting. So whether you’re looking for operational reporting or compliance auditing, SIEM can help. These platforms can also allow engineers to create customized scripts and easily access data to find problems and threats.
Next-generation SIEM platforms detect threats in real-time, analyzing logs as they are ingested. This gives you the shortest detection time possible. Legacy SIEM has to wait for the data to be stored before detection occurs, which extends the attacker’s time to pivot. In addition, next-generation SIEM solutions also provide visibility into cloud services and IoT.
Traditionally, data archiving in SIEMs has been an expensive, cumbersome process. It also poses reliability and security concerns. However, this process is now more reliable, thanks to SIEM extensions. These solutions leverage public Clouds and they can also be customized to suit the needs of a particular organization. This is one of the essential features of next-generation SIEM platforms.
A future SIEM platform must also be flexible and support various data modes. For example, real-time streaming data must be supported to enable SIEMs to work with diverse data types. Finally, security analysts must be able to profile systems with better data visualization. To improve data archiving in SIEMs, new features and capabilities must be developed. The study finds that most SIEMs currently on the market support the integration of new connectors and parsers. They also offer APIs and RESTful interfaces. Moreover, new visualization tools and analytics are crucial for the next-generation SIEM.