BEDFORD, Mass., Jan. 15, 2013 /PRNewswire/ --
- Security experts from Booz Allen Hamilton, Northeastern University and RSA predict Big Data will likely transform nearly all core technology segments in information security within the next two years.
- Newest RSA Security Brief, "Big Data Fuels Intelligence-Driven Security" offers guidelines to help organizations leverage security Big Data and intelligent analytics to better assess risk, prevent and even predict high stakes and unknown threats.
RSA, The Security Division of EMC® Corporation (NYSE: EMC), today released a Security Brief asserting that Big Data will be a driver for major change across the security industry and will fuel intelligence-driven security models. Big Data is expected to dramatically alter almost every discipline within information security. The new Brief predicts Big Data analytics will likely have market-changing impact on most product categories in the information security sector by 2015, including SIEM, network monitoring, user authentication and authorization, identity management, fraud detection, governance, risk and compliance systems.Authors of the Brief assert that changes driven by Big Data have already begun. This year, leading security organizations will deploy commercial, off-the-shelf Big Data solutions to support their security operations. Previously, the advanced data analytics tools deployed within SOCs were custom-built, but 2013 marks the beginning of the commercialization of Big Data technologies in security, a trend that will reshape security approaches, solutions, and spending over the coming years. Longer term, Big Data will also change the nature of conventional security controls such as anti-malware, data loss prevention and firewalls. Within three to five years, data analytics tools will further evolve to enable a range of advanced predictive capabilities and automated real-time controls. Today's hyper-extended, cloud-based, highly mobile business world has rendered obsolete prevailing security practices reliant on perimeter defenses and on static security controls requiring predetermined knowledge of threats. That's why security leaders are shifting to an intelligence-driven security model—a model that is risk-aware, contextual and agile and can help organizations defend against unknown threats. An intelligence-driven security approach, supported by Big Data-enabled tools, incorporates dynamic risk assessments, the analysis of vast volumes of security data, adaptive controls and information sharing about threats and attack techniques.
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