There has been an increase in events sabotaging the cybersecurity of various organizations across the globe. The methods used to carry out the cyber attacks are getting more and more sophisticated making it important to build post-intrusion countermeasures against attackers who use specialized malware to invade a system, especially in targeted cyber attacks.Fujitsu Laboratories today announced the development of AI technology which assists in malware intrusion detection accurately into networks in organizations.
With the extension of its proprietary Deep Tensor AI technology corporations can learn from graphically structured data. With technology around us evolving so have the malware attacks, which blend into the day to day activity on a network, making it important for you to take a more detailed view of the various activities of malware to detect them.
Fujitsu Laboratories has successfully been able to train its AI to recognize the relationships between the types and numbers of the various activities of malware that has invaded an organization. The AI is also able to recognize factors such as spacing between these activities and their sequence, grasping the characteristics of malware.
Fujitsu Laboratories carried out tests on data provided by MWS2017 to determine the difference between day to day network communication and malware attacks and confirmed that, by learning the numerous traces left by malware which change over time, it could detect malware with 93% accuracyFujitsu Laboratories aims to commercialize this technology during fiscal 2017 as part of Fujitsu’s AI technology, Fujitsu Human Centric AI Zinrai. The company along with its malware intrusion detection technology with previously developed cyber attack analysis technology to form a countermeasure support technology. It aims to runs trails for this by 2018 further details of this technology will be declared at the Anti Malware Engineering Workshop 2017 (MWS2017), to be held in Yamagata, Japan on October 23-25.
Post-intrusion countermeasures require personnel who have high cybersecurity skills, but because there are not enough security personnel to meet the rising number of increasing cyber attacks, automation and AI are much anticipated to provide support.
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