IBM has unveiled the IBM Security Intelligence with Big Data, which combines security intelligence with big data analytics capabilities, for both external cyber security threats and internal risk detection and prevention.
The solution combines real-time correlation, custom analytics across massive structured data (such as security device alerts, operating system logs, DNS transactions and network flows), and unstructured data (such as emails, social media content, full packet information and business transactions), along with forensic capabilities.
By analyzing structured, enriched security data alongside unstructured enterprise data, the solution helps find malicious activity hidden deep in the masses of an organization’s data, says IBM.
Included in IBM Security Intelligence with Big Data is a set of pre-packaged security intelligence content, ranging from security data taxonomy and automated data normalization, to pre-defined rules and dashboards.
The solution is supported by IBM Security Services, and was developed by IBM Labs.