IBM: An Early Leader across the Big Data Security Analytics
There are numerous drivers turning security analytics into a big data problem – from the growing volume of security data to a multitude of security analytics use cases. Unfortunately, legacy SIEM tools simply cannot meet big data security analytics needs, forcing organizations to adopt a new strategy.
This ESG Brief outlines how a big data security solution that combines both real-time and asymmetric security analysis is crucial for incident detection, historical analysis, data sharing and integration, and other vital tasks.
Gain further insight as you explore:
- Big data security analytics defined
- The big data security analytics continuum
- Real-time big data security analytics
- Asymmetric big data security analytics
- And more!