SRI Turns Big Data into Actionable Intelligence for Risk-Based Decisions


In a recent study Gartner found that by 2016, more than 25% of global organizations will adopt Big Data analytics for at least one security and fraud detection use case, up from the current 8%.

And while you may not realize it, the concept of Big Data (collecting, analyzing and processing massive data sets) is nothing new in the world of risk management. In fact, it’s been part of the internal audit process for years.  Unfortunately, most of the Big Data collected via compliance and security tools is NOT being adequately leveraged by organizations to enhance their security and limit vulnerabilities, they are merely collecting.

Seems counterintuitive to capture this data without being able to reap the benefits, doesn’t it?  What many organizations don’t understand is that Big Data is just that – data.  Without a way to turn that data into actionable intelligence, companies are unable to use that intelligence to make risk-based decisions.

To address this issue, Rsam developed SRI, a solution to turn security operations data into Security Risk Intelligence. Rsam SRI actively imports and deciphers the massive amount of data generated by your external security and compliance solutions.

Here are 3 ways Rsam SRI can help you make sense of your security operations Big Data:

  • Correlating Security and Risk Data – Organizations frequently pull security data from a variety of sources including threat, incident vulnerability feeds, SIM tools, etc.  In order for this information to be of any value, however, these different silos need to be able to share the data to be able to quickly respond and take actions when threats or vulnerabilities are discovered. This can become a very labor intensive and error-prone effort.  Rsam SRI aggregates, normalizes, and analyzes incoming threat intelligence data feeds and cross-correlates the data with configuration settings, vulnerabilities, patch status to eliminate otherwise labor-intensive processes and allows for common attack patterns to be detected and analyzed automatically, dramatically reducing the risk of exposure.
  • Automating Processes – As mentioned above, most organizations rely on a variety of tools and sources to produce the security data needed to detect and/or prevent threats and cyber attacks. Unfortunately this model generates an incredible amount of data that must be analyzed, normalized, and prioritized.  Rsam SRI automates this process by piecing together data from different sources to connect the dots and detect unusual patterns that may indicate a vulnerability or risk weakness. Automating this process eliminates tedious manual processes that would normally have to be completed by security operations staff.
  • Continuous Monitoring – It would be great, if once you’d resolved a security issue your job was done, but the reality we live in is that cyber attacks and vulnerabilities are unpredictable and can pop up at any time. While most security products give you a snapshot view of your company’s risks, Rsam SRI continuously monitors both compliance and security data to increase your organization’s risk awareness.  Ongoing risk and vulnerability monitoring and analysis can provide many benefits to your organization including: insight into specific errors, operational breakdowns, fraud, or failure to comply with regulations. Additionally, it can provide valuable insight on emerging trends that may indicate patterns of increasing or decreasing risk, which can then be appropriately addressed through your risk management processes.

As the number of compliance areas in closely regulated industries continue to grow, so to do the opportunities for the use of big data analysis in GRC.

To learn more about Rsam SRI, speak with us at the RSA Conference in San Francisco on February 24-28.  We’ll be in Booth #1015 in the South Exhibit Hall.