IBM Security Intelligence with Big Data
With major security breaches and fraud incidents making international headlines, organizations are taking steps to address the growing problems of advanced persistent threats, fraud, and insider attacks.
Traditional security technologies lack the sophisticated capabilities and visibility required to detect and protect against such attacks. At best, they solve a single facet of the problem. Smart cyber criminals can skirt those defenses and blend into the background noise of an organization’s operations. They’re skilled and patient enough to perform stealthy reconnaissance of an organization’s network over months or years, eventually seizing the right opportunity to steal sensitive information assets – intellectual property, credit card numbers, customer databases – commit fraud, or otherwise damage the enterprise.
The IBM solution
IBM Security Intelligence with Big Data provides exceptional threat and risk detection, combining deep security expertise with analytical insights on a massive scale. For forward-leaning organizations seeking advanced insight into security risks, the IBM solution – including IBM QRadar Security Intelligence Platform and IBM Big Data Platform – provides a comprehensive, integrated approach that combines real-time correlation for continuous insight, custom analytics across massive structured and unstructured data, and forensic capabilities for irrefutable evidence. The combination can help you address advanced persistent threats, fraud and insider threats.
The IBM solution is designed to answer questions you could never ask before, by widening the scope and scale of investigation. You can now analyze a greater variety of data – such as DNS transactions, emails, documents, social media data, full packet capture data and business process data – over years of activity. By analyzing structured, enriched security data alongside unstructured data from across the enterprise, the IBM solution helps find ma