Security Intelligence Management

Enterprises and government organizations have vast quantities of data that can help detect threats and areas of high risk—if they have the means and the commitment to collect, aggregate and, most importantly, analyze it. This data not only comes from point security products, but also from sources such as network device configurations, servers, network traffic telemetry, applications, and end users and their activities.

Security intelligence reduces risk, facilitates compliance, shows demonstrable return on investment (ROI) and maximizes investments in existing security technologies.

The goals of security intelligence are to:

  • Distill large amounts of information into an efficient decision-making process, reducing billions of pieces of data to a handful of action items
  • Operationalize data collection and analysis through automation and ease of use
  • Deliver high-value applications that help organizations derive the most benefit from their data to understand and control risk, detect problems and prioritize remediation
  • Validate that the organization has the right policies in place
  • Assure that the controls the organization has implemented are effectively enforcing those policies

In many cases, organizations must deal with incomplete data because a given security tool may not recognize a threat or risk for what it is without correlation from other data sources. On the other hand, even when data is collected from disparate sources, analysts are challenged by the sheer volume, making it extremely difficult to distill actionable information. Security intelligence addresses these problems across the spectrum of the security lifecycle, centralizing data from disparate silos, normalizing it and running automated analyses. This enables organizations to prioritize risk and cost-effectively deploy security resources for detection, prevention, response and remediation.