SIEM supports continuous collection, standardization, correlation, analysis, and reporting of security and operational information. SIEM is a security intelligence platform that has a unique ability to receive logs from other security tools such as Endpoint Detection and Response (EDR), Endpoint Protection Platform (EPP) endpoint solutions, Next generation Firewalls, UTMS, IPS, WAF and in real time provide information for correlation and analysis.
To lower the barriers to adoption, providers are attempting to make SIEMs easier to use and also increase its relevance as a cybersecurity tool. The integration with threat intelligence and forensic analysis, compliance regulations such as GDPR, the use of cloud computing as an essential deployment vector for SIEM and the use of machine learning, deep learning and artificial intelligence to improve the effectiveness of SIEM.
Cloud solutions are becoming an important market driver for SIEM. For small and midsized businesses, cloud-delivered SIEM services, either managed SIEM or SIEM-as-a-Service, are appealing alternatives. Due to complexity, skill shortages and cost, companies are now opting for the managed service, turning for a third party to manage their SIEM solution. This business model combined with cloud solutions facilitate SMBs to also have the benefit of SIEM solutions.