What are Next SIEM Technologies?

05.07.2019 Read
What are Next SIEM Technologies? - Logsign

An industry that is worth more than $2 billion, SIEM keeps growing and evolving. The first instances of SIEMs appeared as descendants of numerous security technologies: LSM, SIM, SLM/SEM, SEC and such. The earliest versions were so limited that they were barely able to scale across large companies and were rather slow. They also needed huge teams to manage thus raising the costs ever-higher. However, SIEMs have changed greatly since. They acquired new functions such as threat monitoring and detection which turned SIEMs into indispensable actors of security operations. Now they offer unified capabilities, incident response and forensic, big data and advanced analysis, threat intelligence capabilities and many more features that will help you protect your systems and networks from even the most elaborate attacks. So it is natural if you wonder what the future holds for your best companion in cyber security. The very recent, and honestly game-changing, developments for SIEM technology are lead by the need for better defence against growing variety and sophistication of cyberthreats and are shaped by recent developments such as increased cloud adoption. But what do these changes mean? Let’s take a closer look together.

  1. To the cloud! SIEM’s raison-d’etre was to aid correlation of multiple security telemetry sources in order to create a prioritized risk and threat view, along with bringing every tool and gauge of security of the network together in an integrated dashboard.

That is why it will remain inherent to the organization of security management but the experts foresee that on-premises sources will shift to the cloud and SaaS sources.

  1. AI will gain more importance

AI-powered analytics will become indispensable tools for ad-hoc and full-scale investigations since AI can perform automated investigations, detect the root-cause of security issues, and conduct intelligence orchestration. Moreover, AI assistants will become part of our daily lives and help analysts to set up, configure and maintain issues. AI-powered security analytics solutions will improve outcomes and freshen UBA, DNS and cloud analytics while utterly changing the way SOCs work. In short, AI will be one of your best friends in cyber security.

  1. SIEM will be the heart of security analytics

Even though machine learning and behavioural analytics will gain even more importance, it is impossible for them to replace rules. A SOC has to detect both known and unknown threats. Making use of signatures and rules is the best way yet to detect known threats since it is both fast and accurate but what about the unknown threats? Detection of such threats raise the need for core data processing steps like curation, management interpretation and enrichment. That is why SIEM technologies will be the most crucial player in security-analytics solutions.