Sophisticated cyber crimes and advanced persistent threats are occurring at an alarming rate. Aided by new attack techniques, increased financial support and the ease of exploiting social connections, attackers are having more success than ever before.
Understanding and identifying advanced threats have become one of the IT security industry's most discussed topics.
Traditional security solutions are no longer sufficient to defend against these escalating threats. IBM Security QRadar uses Big Data capabilities to help keep pace with advanced threats and prevent attacks before they happen. It helps uncover hidden relationships within massive amounts of security data, using proven analytics to reduce billions of security events to a manageable set of prioritized incidents.
Forward-leaning organisations are exploring custom analytics that use additional Big Data technologies on a variety of unstructured data sources including email, social media feeds, business transactions and full network packet payloads. To meet this demand, IBM is integrating industry-leading security intelligence capabilities with the world-class analytics capabilities of IBM InfoSphere BigInsights and related Big Data software and services. The combination offers a comprehensive solutiona security intelligence platform designed to detect and prioritise threats in real time, together with a mature Hadoop-based solution for custom data mining and analytics.
Understanding and identifying advanced threats have become one of the IT security industry's most discussed topics. Today, organised teams pursue specific targets via well-orchestrated, patient, long-running attacks, often using highly customised malware and tactics. For example, the attacker may infiltrate a trusted partner and then load malware onto the target's network. The malware may be tailored to infect only the target organisation to prevent identification by security vendors.
Find out how you can best secure your Big Data infrastructure with this IBM whitepaper
