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RSA's Art Coviello Points To Big Data As Transformative Solution To Security Challenges

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:

  • Security Management for Big Data – Despite today's compute power, bandwidth, database management and storage capacity, organizations will still require all data sets to be analyzed so that they can gain better visibility into a wide variety of contextual data, structured and unstructured, internal and external. Organizations will need to have the right level of context to build specific information about digital assets, users and systems.  Big Data architectures can and should be scalable enough to meet each organization's unique requirements. Organizations will then be able to spot and correlate abnormal behavior in people, transactions and the flow and use of data to identify potential attacks and fraud. 
  • Development and application of controls for Big Data – Organizations will need to subscribe to a more holistic approach for implementing individual Big Data controls by replacing isolated controls that are task-specific, such as malware blocking.  Individual controls should evolve to interact with intelligence feeds, risk and compliance platforms, security management systems, and each other making them more dynamic and situationally aware.  Other task-specific Big Data controls should have the capacity to be self-learning.

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. 

Additional Resources

About RSA

RSA, The Security Division of EMC, is the premier provider of security, risk and compliance management solutions for business acceleration. RSA helps the world's leading organizations succeed by solving their most complex and sensitive security challenges. These challenges include managing organizational risk, safeguarding mobile access and collaboration, proving compliance, and securing virtual and cloud environments. Combining business-critical controls in identity assurance, encryption & key management, SIEM, Security Analytics, Data Loss Prevention and Fraud Protection with industry-leading GRC capabilities and robust consulting services, RSA brings visibility and trust to millions of user identities, the transactions that they perform and the data that is generated. For more information, please visit www.EMC.com/RSA.

EMC, RSA and SecurID are either registered trademarks or trademarks of EMC Corporation in the United States and/or other countries.  All other products and/or services referenced are trademarks of their respective companies.

This release contains "forward-looking statements" as defined under the Federal Securities Laws.  Actual results could differ materially from those projected in the forward-looking statements as a result of certain risk factors, including but not limited to: (i) adverse changes in general economic or market conditions; (ii) delays or reductions in information technology spending; (iii) the relative and varying rates of product price and component cost declines and the volume and mixture of product and services revenues; (iv) competitive factors, including but not limited to pricing pressures and new product introductions; (v) component and product quality and availability; (vi) fluctuations in VMware, Inc.'s operating results and risks associated with trading of VMware stock; (vii) the transition to new products, the uncertainty of customer acceptance of new product offerings and rapid technological and market change; (viii) risks associated with managing the growth of our business, including risks associated with acquisitions and investments and the challenges and costs of integration, restructuring and achieving anticipated synergies; (ix) the ability to attract and retain highly qualified employees; (x) insufficient, excess or obsolete inventory; (xi) fluctuating currency exchange rates; (xii) threats and other disruptions to our secure data centers or networks; (xiii) our ability to protect our proprietary technology; (xiv) war or acts of terrorism; and (xv) other one-time events and other important factors disclosed previously and from time to time in the filings of EMC Corporation, the parent company of RSA, with the U.S. Securities and Exchange Commission.  EMC and RSA disclaim any obligation to update any such forward-looking statements after the date of this release.

SOURCE EMC Corporation

Copyright 2011 PR Newswire. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.
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