In the age of Big Data where volume, velocity and variety of data is increasing complexity both internally and externally, integrating new data sources is bringing organizations tremendous opportunities to mitigate threats in new, innovative ways.
With the shift from analog to digital and few managed systems to many, security operations teams are facing new challenges when it comes to managing vast amounts of real-time and archived information, and making sense of it all when important decisions need to be made quickly. Meet big data.
The signs are all around that Big Data is the first major post-cloud technology that can change our useof data as much as the cloud has changed the way we deploy it.
The cyber crisis impacting U.S.-based enterprises is often swept under the IT rug as a technology issue to be delegated to and resolved by information technology experts who have little to no view on the overall organization’s business or risk issues. At the recent RSA Security Conference, session after session and meeting after meeting, researchers, CSOs and consultancies voiced the same issues: It’s a business problem, not a technology problem, because you're not securing IT – you need to secure the business.
In my previous article on PSIM ROI, I explained how organizations can use PSIM to achieve operational savings. In this second installment of my two-part series on PSIM ROI, I’ll explore a less obvious (hidden) PSIM ROI which can be achieved through better security.
In the first part of this series, we looked at the definition of Big Data and the business benefits that companies are beginning to see from this new technology. Today, we drill down on what types of security data might make up a Big Data strategy, with an eye toward what types of analytics might help extract value from that data.
Art Coviello opened the RSA conference discussing how Big Data analytics help security practitioners regain vigilance and time to detect and defend against advanced threats.
