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IBM Watson for Cyber Security merges supercomputing with cognitive computing

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IBM has announced availability of Watson for Cyber Security that brings with it the power of super computing as well as the advances in cognitive computing to deliver a solution that cyber security experts and team around the world can utilize to strengthen their defences against cyber threats.

Security in an enterprise setup is a mind-boggling and never-ending saga and at any given time, an average enterprise security operations center (SOC) is not only overburdened due to shortage of staff, it is also crushed under the burden of an estimated 200,000 pieces of security event data per day, notes an IBM research. While acting on events that could yield fruitful results is one mammoth task, false positives are a massive headache for SOCs.

Because alerts lack context, security teams must treat each equally and this effectively means that an average enterprise wastes more than 20,000 hours per year on malware containment alone, according to a Ponemon Institute report. Combine this issue with the fragmentation of cyber security industry and we have a problem massive enough to crush even the best of SOCs under massive pressure.

This is where IBM says its Watson for Cyber Security can help. The solution enhances analysts’ ability to fill gaps in intelligence and act with speed and accuracy. It finds connections between obscure data points that humans can’t see on their own and enables enterprises to more quickly and confidently tackle cyberthreats. Built on the IBM Security Operations and Response architecture, it integrates advanced cognitive technologies with leading security analytics solutions to understand and respond to sophisticated threats across cloud, networks, endpoints and users.

Watson for Cyber Security will help organizations strengthen their defences by offering them new insights, patterns and security context. Security analysts can quickly interpret unstructured data — created by humans, for humans — and integrate it with structured data from countless sources and locations.

Cognitive security uses intelligent technologies such as machine learning and natural language processing to mimic the way the human brain functions. It gets stronger over time, learning with each interaction and getting better at proactively stopping threats. In fact, a recent survey revealed a threefold increase in the percentage of companies implementing cognitive-enabled security solutions in the next two to three years.

The centerpiece of IBM’s new Cognitive SOC is QRadar Advisor with Watson. It combines IBM QRadar, the industry’s leading security analytics platform, with the cognitive capabilities of Watson for Cyber Security to automatically investigate and qualify security incidents. It augments security analysts’ expertise by uncovering hidden threats and automating insights. Security analysts, armed with this collective knowledge and instinct, can respond to threats with unprecedented speed and accuracy.

Another key component of the Cognitive SOC is IBM BigFix Detect. This is an endpoint detection and response (EDR) solution that extends cognitive processing to the points in the network where cyberattacks typically begin. BigFix Detect pinpoints malicious behavior and delivers targeted remediation to the compromised endpoints within minutes, cutting off attacks before they have a chance to spread.

When tied to IBM Resilient’s incident response dynamic playbooks, clients can quickly and accurately automate and orchestrate threat response across the entire organization. The IBM Cognitive SOC also brings together other technologies from IBM Security, including i2 for cyberthreat hunting and the IBM X-Force Exchange.

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