RSA CONFERENCE 2013 – San Francisco, CA - February 26, 2013 -
In his opening keynote at RSA Conference 2013, Art Coviello, Executive Vice President of EMC Corporation and Executive Chairman of RSA, The Security Division of EMC® (NYSE: EMC) addressed a record crowd about the ways that Big Data is transforming the security industry, information technology, business and society. Specifically Coviello articulated how an intelligence-driven security strategy that uses powerful Big Data analytics will help security practitioners regain the advantages of vigilance and time to better detect and defend against advanced threats.
Coviello noted the sheer amount of unstructured data being mined and the richness and variability of that data provides great opportunities for business and society, while that same data also provides new attack vectors for adversaries.
“But, new tools and techniques are coming online to analyze all of this data. It won’t be long before Big Data applications and stores become the ‘crown jewels’ of an organization. And those crown jewels will be readily accessible in the cloud and via mobile devices across our hyper-connected enterprises – and not just by us, but by our adversaries as well.”
Coviello also called for a more realistic level of understanding when it comes to the escalation of threats. “Having the right level of understanding is key, because if we, as an industry, overhype this situation, organizations won’t take the necessary measures to prepare themselves.”
Coviello put forward that organizations can no longer afford to remain idle when it comes to updating their security measures and must be willing to take action to adopt an intelligence-driven security model to better defend against unknown threats. The security industry, he said, must also develop an adaptive capacity built on security analytics, risk-based controls and multiple sources of threat intelligence to help security organizations more rapidly identify and respond to threats. Coviello articulated his vision for an intelligence-driven security model enabled by Big Data that can be applied in two ways:
Coviello also cited examples of technologies starting to meet these new Big Data requirements by building tools with Big Data analytics such as the new RSA® Authentication Manager 8.0 platform. He outlined how Authentication Manager 8.0 combines risk-based analytics drawn from a self-learning engine refined through more than 30 billion transactions with a powerful rules engine and industry-leading RSA SecurID® two-factor authentication. RSA also recently announced the RSA® Security Analytics platform that is designed to provide a Big Data approach to security monitoring by fusing security log and packet data with internal and external threat intelligence.
Referring to RSA’s recent Big Data Security Brief, Coviello highlighted the six guiding principles that can help organizations begin planning for the Big Data-driven transformation of their security toolsets and operations as part of an intelligence-driven security program.
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